Анализ страницы https://www.fiddler.ai/resources
Основное Готовность: 75%
Домен
fiddler.ai
Состояние доменного имени
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Проверяем корректность доменного имени и наличие технических проблем на уровне домена.
Домен второго уровня идеален для продвижения.
Отличный запоминающийся домен.
Ответ сервера
200 Успешный ответ
HTTP-код ответа и цепочка редиректов
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Код 200 — страница доступна. Коды 3xx — редиректы (цепочки замедляют загрузку и размывают ссылочный вес). Коды 4xx/5xx — ошибки, поисковик не сможет проиндексировать страницу.
Сервер настроен корректно.
Безопасность
Сайт безопасен
Использование HTTPS и SSL-сертификат
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HTTPS — обязательный стандарт. Google и Яндекс отдают предпочтение защищённым сайтам. Отсутствие SSL или просроченный сертификат ведут к предупреждениям в браузере и снижению позиций.
На сайте работает защищенный протокол ssl и сайт открывается по https.
Ssl-сертификат действителен до 04.10.2026 22:45:22.
Сервер поддерживает HTTP/3 (QUIC) — новейший протокол.
Включён HSTS (Strict-Transport-Security) — защита от подмены на http.
Поздравляем! Сайт не содержится в реестре РКН.
Кодировка
utf-8
Кодировка символов страницы
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Стандарт — UTF-8. Неправильная кодировка вызывает нечитаемые символы и мешает поисковику корректно распознать текст страницы.
Указана кодировка на странице utf-8.
Язык
en
Атрибут lang в HTML-теге
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Атрибут lang (<html lang="ru">) сообщает поисковикам и браузерам, на каком языке написана страница. Помогает при ранжировании в региональном поиске.
Язык документа указан явно: en.
Скорость загрузки
~0,38сек
Время отклика сервера (TTFB)
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Time To First Byte — время до получения первого байта от сервера. Норма до 200 мс. Медленный отклик ухудшает пользовательский опыт и ранжирование: Яндекс и Google учитывают скорость страниц.
Скорость загрузки сайта 0,38сек оптимальна.
Объем документа
453Кб
Размер HTML-кода страницы
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Слишком большой HTML замедляет парсинг браузером и сканирование поисковым роботом. Рекомендуется не более 200 Кб.
Объем html-документа 453Кб оптимален.
Структура html-документа корректна.
Ресурсы
Ресурсы: 23
Внешние ресурсы страницы (CSS, JS, изображения)
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Количество и тип подключённых ресурсов влияют на скорость загрузки. Большое число запросов увеличивает время рендеринга страницы.
Кол-во файлов ресурсов 23 много для одной страницы. Приемлемо до 10. Проведите оптимизацию файлов ресурсов!
Показать полный список ресурсов
| Тип | Название | Значение |
|---|---|---|
| stylesheet | text/css | https://cdn.prod.website-files.com/67fda64a156dc33e1842992b/css/fdlr-staging.webflow.shared.f5ff71012.css |
| js | text/javascript | https://ajax.googleapis.com/ajax/libs/webfont/1.6.26/webfont.js |
| js | https://cdn.jsdelivr.net/npm/js-cookie@3.0.5/dist/js.cookie.min.js | |
| js | text/javascript | https://play.vidyard.com/embed/v4.js |
| js | module | https://cdn.jsdelivr.net/npm/@finsweet/attributes@2/attributes.js |
| js | https://cdn.jsdelivr.net/npm/@finsweet/attributes-cmscombine@1/cmscombine.js | |
| js | https://cdn.jsdelivr.net/npm/@finsweet/attributes-cmssort@1/cmssort.js | |
| js | https://cdn.jsdelivr.net/npm/@finsweet/attributes-cmsfilter@1/cmsfilter.js | |
| js | https://cdn.jsdelivr.net/npm/@finsweet/attributes-cmsnest@1/cmsnest.js | |
| js | module | https://cdn.prod.website-files.com/67fda64a156dc33e1842992b%2F6544eda5f000985a163a8687%2F681fb6726bde1f21395d8d07%2Ffinsweetcomponentsconfig-1.0.2.js |
| js | text/javascript | https://d3e54v103j8qbb.cloudfront.net/js/jquery-3.5.1.min.dc5e7f18c8.js?site=67fda64a156dc33e1842992b |
| js | text/javascript | https://cdn.prod.website-files.com/67fda64a156dc33e1842992b/js/webflow.schunk.36b8fb49256177c8.js |
| js | text/javascript | https://cdn.prod.website-files.com/67fda64a156dc33e1842992b/js/webflow.schunk.e6b9bfe5983e8557.js |
| js | text/javascript | https://cdn.prod.website-files.com/67fda64a156dc33e1842992b/js/webflow.schunk.1ad3806b8e7b95dd.js |
| js | text/javascript | https://cdn.prod.website-files.com/67fda64a156dc33e1842992b/js/webflow.1ed4b07f.d745f139bd10cc44.js |
| js | text/javascript | https://cdn.prod.website-files.com/gsap/3.15.0/gsap.min.js |
| js | text/javascript | https://cdn.prod.website-files.com/gsap/3.15.0/TextPlugin.min.js |
| js | text/javascript | https://cdn.prod.website-files.com/gsap/3.15.0/SplitText.min.js |
| js | text/javascript | https://cdn.prod.website-files.com/gsap/3.15.0/Observer.min.js |
| js | text/javascript | https://cdn.prod.website-files.com/gsap/3.15.0/ScrollTrigger.min.js |
| js | text/javascript | https://cdn.prod.website-files.com/gsap/3.15.0/ScrollSmoother.min.js |
| js | https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js | |
| js | text/javascript | https://marketo.use1-marketplace-1p-apps-prod-red.if.webflow.services/static/loader.js |
Серверные заголовки
Кол-во: 15
HTTP-заголовки ответа сервера
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Заголовки сервера передают браузеру и поисковику служебную информацию: кеширование, безопасность (CSP, HSTS), сжатие (gzip). Правильная настройка ускоряет загрузку и повышает защищённость.
Найдены серверные заголовки 15шт. Подробнее про серверные заголовки.
Показать полный список серверных заголовков
| Ключ | Значение |
|---|---|
| Date | Sat, 22 Aug 2026 09:09:15 GMT |
| Set-Cookie | _cfuvid=DGdTxgCQuErewNj1tiW8Mfd79dja28L.q.w4MH.JQjE-1787389754.7450485-1.0.1.1-EIq6YbOlSuFRS1rtAn8UEvS_5arATK6XCreewpFU.As; HttpOnly; SameSite=None; Secure; Path=/; Domain=www.fiddler.ai |
| cf-ray | a2f0bccf2eeae94f-DME |
| cf-cache-status | HIT |
| Link | <https://cdn.prod.website-files.com>; rel=preconnect; crossorigin, <https://cdn.prod.website-files.com/67fda64a156dc33e1842992b/css/fdlr-staging.webflow.shared.f5ff71012.css>; rel=preload; as=style; crossorigin; integrity="sha384-9f9xASoHIsadaJfcmR3uLd3FvvO+M+nFtu36onPkdbjr8/Rv5NFmQC5xijOl6R5t", <https://fonts.googleapis.com>; rel=preconnect, <https://fonts.gstatic.com>; rel=preconnect; crossorigin, <https://cdn.intellimize.co>; rel=preconnect, <https://api.intellimize.co>; rel=preconnect; crossorigin, <https://log.intellimize.co>; rel=preconnect; crossorigin, <https://117253373.intellimizeio.com>; rel=preconnect |
| Server | cloudflare |
| Strict-Transport-Security | max-age=31536000 |
| Vary | accept-encoding |
| Content-Security-Policy | frame-ancestors 'self' |
| surrogate-control | max-age=86117 |
| surrogate-key | www.fiddler.ai 67fda64a156dc33e1842992b pageId:67fda64a156dc33e18429ac4 67fda64a156dc33e18429bd1 67fda64a156dc33e18429baf 67fda64a156dc33e18429afc 67fda64a156dc33e18429bee 67fda64a156dc33e18429b5b 67fda64a156dc33e18429de2 67fda64a156dc33e18429ae3 67fda64a156dc33e18429ac8 |
| X-Frame-Options | SAMEORIGIN |
| x-lambda-id | b51edefa-9e86-4e32-92fe-2c7a4fc218cf |
| x-wf-region | us-east-1 |
| Alt-Svc | h3=":443" |
CMS
Webflow
Система управления сайтом (движок)
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CMS — это движок, на котором работает сайт (WordPress, 1C-Bitrix, Tilda и др.). Знание CMS помогает понять возможности SEO-оптимизации и подобрать подходящие инструменты. «Не определена» — вероятно, самописный сайт или нестандартная сборка.
Сайт работает на CMS Webflow.
Веб-сервер
Cloudflare
Программное обеспечение сервера
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Веб-сервер — это ПО, которое отдаёт страницы посетителям (nginx, Apache, IIS, LiteSpeed и др.). Определяется по серверным заголовкам ответа (Server, X-Powered-By и т.п.). «Не определён» — сервер намеренно скрывает эти заголовки, это нормальная практика безопасности.
Сайт работает на веб-сервере Cloudflare.
Мета-теги Готовность: 48%
Title
Resource Library | Fiddler AI
Заголовок страницы в браузере и поисковой выдаче
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Title — главный SEO-заголовок страницы. Влияет на CTR в поиске и ранжирование. Оптимальная длина: 50–70 символов. Ключевые слова — ближе к началу.
Необходимо увеличить число символов в title (текущее значение: 29, оптимально: от 40 до 45)
Дублей словоформ в title не найдено.
Description
Read, watch, and listen to Fiddler's latest research and appearance on topics such as Artificial Intelligence, Machine Learning Monitoring, Explainable AI, and Responsible AI.
Описание страницы в поисковой выдаче (сниппет)
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Meta Description — текст под заголовком в выдаче. Напрямую на позиции не влияет, но влияет на CTR. Оптимальная длина: 120–160 символов.
Необходимо уменьшить число символов в description (текущее значение: 180, оптимально: от 120 до 130)
Keywords
Список ключевых слов страницы (устаревший тег)
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Meta Keywords не учитывается Яндексом и Google для ранжирования с 2009–2012 годов. Заполнение не обязательно, но не вредит. Конкурент может использовать содержимое для анализа.
Установите мета-тег keywords!
Канонический Url
https://www.fiddler.ai/resources
Указывает поисковику основную версию страницы
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Canonical (rel=canonical) предотвращает проблему дублей страниц. Должен точно совпадать с URL проверяемой страницы. Неправильный canonical может передать ссылочный вес на другую страницу.
Канонический Url прописан корректно.
Robots
Ошибок нет
Директивы для поисковых роботов на уровне страницы
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Meta Robots управляет индексацией конкретной страницы: index/noindex — индексировать ли, follow/nofollow — следовать ли по ссылкам. Noindex полностью исключает страницу из поиска.
Meta-тег robots не указан. Страница свободна для индексации.
Адаптивность
width=device-width, initial-scale=1
Настройка масштабирования на мобильных устройствах
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Тег viewport (<meta name="viewport">) сообщает браузеру, как масштабировать страницу на мобильных. Стандарт: width=device-width, initial-scale=1. Отсутствие — признак отсутствия мобильной версии.
Meta-тег viewport со значением-константой width=device-width задаёт ширину страницы в соответствии с размером экрана.
Meta-тег viewport со значением initial-scale=1.0 определяет масштаб 1:1, т.е. «не масштабировать».
Разметка OpenGraph
Кол-во: 4
Мета-теги для красивых превью в соцсетях
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OpenGraph (og:title, og:description, og:image) управляет тем, как страница выглядит при репосте в социальных сетях и мессенджерах. Отсутствие OG-тегов — невзрачный превью при шеринге.
Разметка OpenGraph задана. Страница оптимизирована под социальные сети.
Показать полный список og мета-тегов
| Тип | Значение |
|---|---|
| og:title | Resource Library | Fiddler AI |
| og:description | Read, watch, and listen to Fiddler's latest research and appearance on topics such as Artificial Intelligence, Machine Learning Monitoring, Explainable AI, and Responsible AI. |
| og:image | https://cdn.prod.website-files.com/5e067beb4c88a64e31622d4b/66230a1e8e52c4aad364a58e_2024-opengraph-min.png |
| og:type | website |
Все мета-теги
Кол-во: 10
Полный список мета-тегов страницы
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Таблица всех meta-тегов, включая нестандартные. Позволяет найти опечатки, дубли и лишние теги.
Найдены мета-теги 10шт. Мета-теги не видимы для человека и предназначены для обмена информацией между веб-страницей и поисковыми системами, браузерами и другими веб-службами. С ними роботы 🤖 и устройства ведут себя более ожидаемо.
Показать полный список мета-тегов
| Тип | Название | Значение |
|---|---|---|
| name | description | Read, watch, and listen to Fiddler's latest research and appearance on topics such as Artificial Intelligence, Machine Learning Monitoring, Explainable AI, and Responsible AI. |
| name | twitter:title | Resource Library | Fiddler AI |
| name | twitter:description | Read, watch, and listen to Fiddler's latest research and appearance on topics such as Artificial Intelligence, Machine Learning Monitoring, Explainable AI, and Responsible AI. |
| name | twitter:image | https://cdn.prod.website-files.com/5e067beb4c88a64e31622d4b/66230a1e8e52c4aad364a58e_2024-opengraph-min.png |
| name | twitter:card | summary_large_image |
| name | viewport | width=device-width, initial-scale=1 |
| property | og:title | Resource Library | Fiddler AI |
| property | og:description | Read, watch, and listen to Fiddler's latest research and appearance on topics such as Artificial Intelligence, Machine Learning Monitoring, Explainable AI, and Responsible AI. |
| property | og:image | https://cdn.prod.website-files.com/5e067beb4c88a64e31622d4b/66230a1e8e52c4aad364a58e_2024-opengraph-min.png |
| property | og:type | website |
Оптимизация Готовность: 80%
Структура
Ошибок нет
Семантические HTML-элементы страницы
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Проверяет наличие основных структурных элементов: nav, header, footer, main. Корректная семантическая структура помогает поисковику понять архитектуру страницы.
Структура документа корректна (теги <html> и <body> присутствуют в одном экземпляре).
Контент
Ошибок нет
Объём и качество текстового содержимого
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Анализирует объём полезного текста на странице. Слишком мало — страница может считаться малополезной. Слишком много — ухудшается читаемость и восприятие.
Слова из title 4 встречаются в тексте достаточно.
Абзацев с текстом 203 достаточно.
Среднее число слов в абзаце 24 достаточно.
Кол-во знаков контента 58760 на странице оптимально.
Кол-во слов 8489 на странице оптимально.
Заголовки
Ошибок нет
Иерархия заголовков H1–H6
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H1 должен быть один и содержать ключевой запрос. H2–H6 описывают подразделы. Пропуск уровней (H1 → H3) и несколько H1 — типичные ошибки, снижающие понятность страницы для поисковика.
На странице присутствуют заголовки <h1> 1. Это прекрасно.
На странице присутствуют заголовки <h2> 1. Это хорошо.
Тошнота
11,36
Насколько одно слово доминирует в тексте
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Классическая тошнота = √(частота самого повторяющегося слова). Норма до 7–8: текст воспринимается естественно. Выше — поисковик может счесть страницу переспамленной.
Тошнота превышает норму 5. Измените текст страницы!
Академич. тошнота
22,99%
Насколько текст перенасыщен ключевыми словами
?
Академическая тошнота = (частота слова / общее количество слов) × 100%. Показывает долю конкретного слова в тексте. Норма 5–15%.
Академическая тошнота превышает норму 5-15%. Измените текст страницы!
Семантическое ядро
20
Наиболее часто встречающиеся слова на странице
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Топ слов по частоте использования. Показывает, какие слова доминируют в тексте с точки зрения поисковика.
Контент страницы содержит осмысленный текст и слова.
Показать список слов
| Слово | Кол-во | Частота |
|---|---|---|
| on-demand | 129 | 1,52% |
| fiddler | 111 | 1,31% |
| observability | 77 | 0,91% |
| webinar | 70 | 0,82% |
| agents | 58 | 0,68% |
| models | 56 | 0,66% |
| agentic | 53 | 0,62% |
| podcast | 45 | 0,53% |
| generative | 44 | 0,52% |
| monitoring | 41 | 0,48% |
| responsible | 40 | 0,47% |
| applications | 35 | 0,41% |
| guardrails | 34 | 0,40% |
| explained: | 33 | 0,39% |
| security | 32 | 0,38% |
| episode | 30 | 0,35% |
| performance | 28 | 0,33% |
| platform | 26 | 0,31% |
| control | 25 | 0,29% |
| governance | 25 | 0,29% |
Индексация Готовность: 0%
Индексирование
Есть ошибки
Разрешено ли индексирование страницы
?
Проверяет, не закрыта ли страница от индексации через robots.txt, meta robots или X-Robots-Tag. Страница, закрытая от индексации, не появится в поисковой выдаче.
Анкоров на странице 295 слишком много. Проведите ревизию и оптимизацию ссылок сайта.
Robots.txt
Найден корректный robots.txt
Файл управления сканированием сайта роботами
?
Robots.txt указывает поисковым роботам, какие страницы сканировать, а какие — нет. Ошибки в файле могут случайно закрыть важные разделы от индексации.
Robots.txt настроен корректно. Размер файла: 77 байт. Загружен за: 0сек.
Проверяемая страница не запрещена в robots.txt.
Robots.txt доступен по постоянному адресу
Показать содержимое robots.txt
User-agent: *
Disallow: /search*
Sitemap: https://www.fiddler.ai/sitemap.xml
Sitemap
Кол-во: 1
XML-карта сайта для поисковиков
?
Sitemap.xml помогает поисковику быстрее находить и индексировать страницы. Особенно важен для крупных сайтов и новых страниц, на которые ещё нет входящих ссылок.
Robots.txt содержит карту сайта. Это прекрасно!
Robots.txt не содержит ошибок в карте сайта.
Показать карту сайта
| Url | Статус |
|---|---|
| https://www.fiddler.ai/sitemap.xml |
|
Внутренние ссылки
Кол-во: 267
Ссылки на другие страницы своего сайта
?
Внутренние ссылки распределяют ссылочный вес между страницами и помогают поисковику обходить сайт. Пустые анкоры и ссылки на запрещённые robots.txt страницы — типичные ошибки.
Внутренних ссылок на странице 267 слишком много. Проведите оптимизацию сайта!
На странице присутствуют внутренние ссылки с пустым анкором: 9!
Внутренние ссылки не запрещены к индексации в robots.txt.
На странице присутствуют изображения 7.
Показать первые 100 внутренних ссылок
| Url | Анкор | Состояние |
|---|---|---|
| /demo |
<div>Talk to an expert</div>
|
|
| /evaluations |
<div class="icon-embed-xsmall icon-color-blue w-embed"><svg width="100%" height="100%" viewbox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M11 5.55L9.7 4.25L9 4.95L11 6.95L14.5 3.45L13.8 2.75L11 5.55Z" fill="currentColor"></path>
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| /centor-models |
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| /solutions/government |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Government<br></div><div class="navbar_item-description-2">Mission-critical AI for defense and intelligence operations</div></div>
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| /solutions/financial-services |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Financial Services<br></div><div class="navbar_item-description-2">Scale AI systems across lending, cards, wealth management, fraud, and trading</div></div>
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| /solutions/healthcare |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Healthcare<br></div><div class="navbar_item-description-2">Deploy agents for clinical care and patient outcomes safely</div></div>
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| /solutions/insurance |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Insurance<br></div><div class="navbar_item-description-2">Scale trusted agents across insurance claims, underwriting, and risk assessment</div></div>
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| /solutions/customer-experience |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Customer Experience</div><div class="navbar_item-description-2">Deliver agentic experiences that delight customers</div></div>
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| /solutions/lifetime-value |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Lifetime Value<br></div><div class="navbar_item-description-2">Maximize customer lifetime value with agentic AI</div></div>
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| /solutions/lending-and-trading |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Lending and Trading<br></div><div class="navbar_item-description-2">Run autonomous financial AI operations at scale</div></div>
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| /partners/amazon-sagemaker-ai |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Amazon SageMaker AI<br></div><div class="navbar_item-description-2 hide">Unified MLOps for scalable model lifecycle management</div></div>
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| /partners/nvidia |
<div class="navbar_item-right"><div class="navbar_item-heading-2">NVIDIA NIM and NeMo Guardrails<br></div><div class="navbar_item-description-2 hide">Monitor and protect LLM applications</div></div>
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| /blog/accelerating-the-production-of-ai-solutions-with-fiddler-and-databricks-integration |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Databricks<br></div><div class="navbar_item-description-2 hide">Accelerate production ML with a streamlined MLOps experience</div></div>
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| /blog/fiddler-mpm-integration-for-datadog-apm |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Datadog<br></div><div class="navbar_item-description-2 hide">Gain complete visibility into the performance of your AI applications</div></div>
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<div class="navbar_item-right"><div class="navbar_item-heading-2">Pricing Plans</div><div class="navbar_item-description-2">Choose the plan that’s right for you</div></div>
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<div class="navbar_item-right"><div class="navbar_item-heading-2 margin-bottom-0">Contact Sales<br></div><div class="navbar_item-description-2">Have questions about pricing, plans, or Fiddler?</div></div>
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| /pricing |
Pricing
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| /resources |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Resource Library<br></div><div class="navbar_item-description-2">Discover reports, videos, and research</div></div>
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| /blog |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Blog<br></div><div class="navbar_item-description-2">Read product updates, data science research, and company news</div></div>
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| /ai-forward |
<div class="navbar_item-right"><div class="navbar_item-heading-2">AI Forward Summit<br></div><div class="navbar_item-description-2">Watch recordings on how to operationalize production LLMs, and maximize the value of AI</div></div>
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<div class="navbar_item-right"><div class="navbar_item-heading-2">Events<br></div><div class="navbar_item-description-2">Find out about upcoming events</div></div>
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| /contact-sales |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Contact Us<br></div><div class="navbar_item-description-2">Get in touch with the Fiddler team</div></div>
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| /about |
<div class="navbar_item-right"><div class="navbar_item-heading-2">About Us<br></div><div class="navbar_item-description-2">Our mission and who we are</div></div>
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| /customers |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Customers<br></div><div class="navbar_item-description-2">Learn how customers use Fiddler</div></div>
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| /careers |
<div class="navbar_item-right"><div class="navbar_text-wrapper"><div class="navbar_item-heading-2">Careers<br></div><div class="badge-2 is-badge-small is-blue"><div>We're hiring!</div></div></div><div class="navbar_item-description-2">Join fiddler to build trustworthy and responsible AI solutions</div></div>
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| /newsroom |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Newsroom<br></div><div class="navbar_item-description-2">Explore recent news and press releases</div></div>
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| /security |
<div class="navbar_item-right"><div class="navbar_item-heading-2">Security</div><div class="navbar_item-description-2">Enterprise-grade security and compliance standards</div></div>
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| /evals-tco-calculator |
<div>See your evals' TCO</div>
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| /demo |
<div>Request demo</div>
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| /topic/ai-forward |
Пустой анкор
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| /topic/generative-ai-and-llmops |
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| /topic/ai-use-cases |
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| /topic/responsible-ai |
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| /topic/ai-observability |
Пустой анкор
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| /topic/mlops |
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| /topic/ml-model-monitoring |
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| /topic/bias-and-fairness-in-ai |
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| /topic/explainable-ai |
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| /resources/agent-evals-tco |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Guide</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2026-08-19</div><div class="text-size-large text-weight-medium">Total Cost of Ownership for Evaluating Agents</div><p class="resource-description">Learn the true Evaluation TCO of agents at scale and how Fiddler Centor Models eliminate the hidden Trust Tax compared to external LLM API calls.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">08/2026</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-control-plane-for-coding-agents |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2026-06-26</div><div class="text-size-large text-weight-medium">Fiddler AI Control Plane for Coding Agents</div><p class="resource-description">See how the Fiddler AI Control Plane for Coding Agents delivers inline PII/PHI and secret redaction, and fleet-wide developer, cost and token visibility.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">06/2026</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/control-plane-for-ai-agents |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2026-06-17</div><div class="text-size-large text-weight-medium">The Fiddler Control Plane for AI Agents</div><p class="resource-description">Fiddler Control Plane for AI Agents delivers visibility, context, and control across first-party, third-party, and coding agents — from creation to production.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">06/2026</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/root-cause-analysis-ai-agent-workflow |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2026-02-13</div><div class="text-size-large text-weight-medium">Root Cause Analysis at Every Step of Your AI Agent Workflow</div><p class="resource-description">Monitor AI agents with Fiddler: drill into traces, track faithfulness and PII, perform root cause analysis on LangGraph applications with OpenTelemetry tracing.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">02/2026</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/agentic-applications-unified-dashboard |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2026-02-13</div><div class="text-size-large text-weight-medium">Visualize and Understand Your Agentic Applications in a Unified Dashboard</div><p class="resource-description">Monitor AI applications in production with Fiddler dashboards. Track faithfulness, PII, drift, and bias for AI agents and traditional ML models in one platform.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">02/2026</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/monitor-domain-specific-ai-evaluators |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2026-02-13</div><div class="text-size-large text-weight-medium">Monitor Domain-Specific AI with Custom Evaluators in Your Environment</div><p class="resource-description">Build custom AI evaluators in Fiddler for bias, hallucination, and faithfulness detection. Deploy privately with lower costs and visualize in 3D UMAP clusters.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">02/2026</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/phi-guardrails |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2026-02-02</div><div class="text-size-large text-weight-medium">Protect Sensitive Data with Fiddler PHI Guardrails</div><p class="resource-description">Fiddler’s real-time PHI Guardrails help prevent healthcare AI data leaks by instantly detecting PHI with confidence scores, plus custom entity support.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">02/2026</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/pii-guardrails |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2026-02-02</div><div class="text-size-large text-weight-medium">Protect Sensitive Data with Fiddler PII Guardrails</div><p class="resource-description">Fiddler’s real-time PII Guardrails detect and highlight sensitive data in under 100ms, with confidence scores and custom entities to prevent AI data leaks.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">02/2026</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/control-plane-moment-for-ai |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2026-01-27</div><div class="text-size-large text-weight-medium">The Control Plane Moment for AI</div><p class="resource-description">The control plane for AI agents. Standardized telemetry, continuous monitoring, enforceable policy, and auditable governance across the agentic lifecycle.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">01/2026</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-observability-for-federal-agencies |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-11-20</div><div class="text-size-large text-weight-medium">AI Observability and Security for Government</div><p class="resource-description">Fiddler partners with federal agencies to ensure the performance, behavior, and safety of predictive, generative, and agentic AI systems through comprehensive observability and security. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/enterprise-agentic-observability |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-11-19</div><div class="text-size-large text-weight-medium">Fiddler Enterprise Agentic Observability</div><p class="resource-description">Fiddler Agentic Observability gives enterprises visibility, context, and control to evaluate, monitor, analyze, and improve AI agents.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/build-high-performing-ai-agents |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-11-18</div><div class="text-size-large text-weight-medium">Build High Performing AI Agents with Fiddler Agentic Observability</div><p class="resource-description">Learn how Fiddler Agentic Observability helps you build, test, monitor, and analyze high-performing AI agents across the full development lifecycle.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/build-responsible-ai-with-mission-critical-ai-observability |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-10-27</div><div class="text-size-large text-weight-medium">Build Responsible AI with Mission-Critical AI Observability</div><p class="resource-description">Explore the Fiddler AI Observability and Security platform for government agencies, ensuring AI transparency, trust, and security in mission-critical applications.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">10/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/agentic-observability-healthcare |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-09-30</div><div class="text-size-large text-weight-medium">Agentic Observability for Healthcare</div><p class="resource-description">Discover how Fiddler Agentic Observability helps healthcare organizations monitor AI agents, secure patient data, block harmful outputs, and simplify compliance.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">09/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/governance-risk-compliance-ai-regulations |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-08-13</div><div class="text-size-large text-weight-medium">Fiddler for Governance, Risk, and Compliance: Comply with AI Regulations</div><p class="resource-description">Fiddler provides unified AI observability & security with dashboards for metrics, root cause analysis, and audit evidence for governance & EU AI Act compliance.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">08/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/federal-capability-statement |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-07-25</div><div class="text-size-large text-weight-medium">Federal Capability Statement</div><p class="resource-description">Fiddler AI Observability and Security platform to monitor, protect and govern agentic, GenAI and predictive apps. Includes UEI, CAGE, NAICS codes and gov contact.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">07/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/build-responsible-ai-with-ai-observability |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-06-30</div><div class="text-size-large text-weight-medium">Build Responsible AI with AI Observability and Security</div><p class="resource-description">Explore the crucial role of AI Observability and Security in building responsible AI for trustworthy, secure, and compliant LLM and ML deployments.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">06/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-observability-platform |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-06-09</div><div class="text-size-large text-weight-medium">Fiddler AI Observability and Security Platform</div><p class="resource-description">Discover how Fiddler's AI Observability and Security platform provides guardrails, monitoring, and insights to enhance predictive models, LLMs, and GenAI in production.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">06/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/see-how-fiddler-works-in-amazon-sagemaker-ai |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-05-30</div><div class="text-size-large text-weight-medium">See How Fiddler Works in Amazon SageMaker AI</div><p class="resource-description">See how Fiddler brings enterprise-grade monitoring directly into your secure SageMaker environment.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">05/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/guardrails-benchmarks |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Guide</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-05-17</div><div class="text-size-large text-weight-medium">The 2025 Enterprise Guardrails Benchmarks Report</div><p class="resource-description">Which guardrails solution is right for your organization? One size never fits all — and the stakes couldn't be higher. Our interactive 2025 Benchmarks Report provides objective data to navigate tradeoffs and select the right guardrails for your use case.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">05/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/securing-llm-applications-nemo-guardrails-fiddler-guardrails-integration |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-03-17</div><div class="text-size-large text-weight-medium">Securing LLM Applications: NeMo Guardrails + Fiddler Guardrails Integration</div><p class="resource-description">Discover Fiddler Guardrails integration with NVIDIA NeMo, delivering industry-leading <100ms response time. See how this fastest, most cost-effective solution protects LLMs against hallucinations, safety violations, and jailbreak attempts while deploying securely in your environment.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">03/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/integrated-ai-governance-observability-and-mlops |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-01-28</div><div class="text-size-large text-weight-medium">Integrated AI Governance, Observability, and MLOps</div><p class="resource-description">Discover how Fiddler and Domino partner to deliver trusted, scalable, and secure MLOps solutions, empowering government agencies and enterprises to operationalize AI with confidence.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">01/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/fiddler-guardrails-for-safeguarding-llm-applications |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2025-01-22</div><div class="text-size-large text-weight-medium">Fiddler Guardrails for Safeguarding LLM Applications</div><p class="resource-description">Fiddler Guardrails, an extension of Fiddler Trust Service, enables real-time scoring to detect risky LLM issues like hallucinations and prompt injection, rejecting malicious inputs before they reach the model.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">01/2025</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/track-fairness-and-bias-in-llm-and-ml-models |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-11-06</div><div class="text-size-large text-weight-medium">Ensuring Fairness and Mitigating Bias in AI Models with Fiddler</div><p class="resource-description">In this product tour, we show how to leverage existing model data to create segments based on protected attributes like gender and race, and define intersectional segments for in-depth fairness analysis.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/compare-and-analyze-cohorts-using-segment-monitoring |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-11-05</div><div class="text-size-large text-weight-medium">Compare and Analyze Cohorts Using Segment Monitoring</div><p class="resource-description">In this product tour, see how to configure Fiddler’s dashboards for specific teams, business goals, and use cases.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/get-rich-insights-with-customizable-dashboards |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-11-05</div><div class="text-size-large text-weight-medium">Get Rich Insights on LLM Applications and ML Models with Customizable Dashboards</div><p class="resource-description">In this product tour, see how to configure Fiddler’s dashboards for specific teams, business goals, and use cases.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/track-model-drift-on-unstructured-data |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-11-04</div><div class="text-size-large text-weight-medium">Track Model Drift on Unstructured Data</div><p class="resource-description">In this product tour, we walk through tracking drift for models like image classifiers by leveraging image embeddings and text embeddings.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-observability-for-llm-applications-and-ml-models |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-11-01</div><div class="text-size-large text-weight-medium">AI Observability for LLM Applications and ML Models</div><p class="resource-description">In this product tour, see how to build custom dashboards, visualize model performance, detect prediction drift, and dive into root cause analysis for issues like data integrity problems or feature drift.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-observability-for-ml-models |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-11-01</div><div class="text-size-large text-weight-medium">AI Observability for ML Models</div><p class="resource-description">In this product tour, see how Fiddler supports a range of ML models, including binary classification, regression, and ranking. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/fiddler-for-financial-services |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-07-10</div><div class="text-size-large text-weight-medium">Fiddler for Financial Services</div><p class="resource-description">The Fiddler AI Observability platform helps financial service institutions monitor, analyze , explain, and improve predictive and generative AI models and applications.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">07/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/image-explainability-for-computer-vision-models |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-07-02</div><div class="text-size-large text-weight-medium">Fiddler's Image Explainability for Computer Vision Models</div><p class="resource-description">Discover how Fiddler AI Observability’s advanced image explainability helps you gain deep insights into the predictions and behaviors of computer vision models. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">07/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/safeguard-llm-apps-from-jailbreaks-with-trust-models |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-07-02</div><div class="text-size-large text-weight-medium">Safeguard LLM Apps from Jailbreaks with Fiddler Trust Models</div><p class="resource-description">See Fiddler in action and discover how Fiddler Trust Models detect and help you safeguard your LLM application while driving business growth. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">07/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-observability-for-insurance |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-07-01</div><div class="text-size-large text-weight-medium">Fiddler for Insurance</div><p class="resource-description">The Fiddler AI Observability and Security platform helps insurance companies monitor, analyze, and protect predictive models, generative AI applications, and agents.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">07/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-observability-capabilities-for-computer-vision-model |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Data Sheet</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-04-18</div><div class="text-size-large text-weight-medium">Fiddler AI Observability Capabilities for Computer Vision Model</div><p class="resource-description">Fiddler provides computer vision capabilities to aid government agencies to detect and analyze issues in image models, enhancing high-stakes decision-making.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">04/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/measuring-distributional-shifts-in-text-the-advantage-of-language-model-based-embeddings |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Research</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2024-02-08</div><div class="text-size-large text-weight-medium">Measuring Distributional Shifts in Text: The Advantage of Language Model-Based Embeddings</div><p class="resource-description">Explore a method for measuring distributional shifts in text data using language model-based embeddings, highlighting the effectiveness of LLMs in capturing semantic relationships for this purpose.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">02/2024</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/10-lessons-from-developing-an-ai-chatbot-using-retrieval-augmented-generation |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Guide</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-12-21</div><div class="text-size-large text-weight-medium">10 Lessons from Developing an AI Chatbot Using Retrieval-Augmented Generation</div><p class="resource-description">Practical lessons and experiences on developing AI applications and chatbots using retrieval-augmented generation (RAG) methods. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">12/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-effective-enterprise-compliance-make-a-leap-of-trust-with-frog |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - Effective Enterprise Compliance: Make a Leap of Trust with FRoG</div><p class="resource-description">In this workshop, see how Fiddler users can use the Fiddler Report Generator (FRoG) to create customizable reports for model risk management (MRM) and periodic model health reviews. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-fiddler-ai-observability-platform-for-llmops |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - Fiddler AI Observability Platform for LLMOps</div><p class="resource-description">Watch this demo to explore how the Fiddler AI Observability Platform for LLMOps streamlines end-to-end LLMOps by enabling data scientists and AI practitioners.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-fiddler-ai-observability-platform-for-mlops |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - Fiddler AI Observability Platform for MLOps</div><p class="resource-description">Watch this demo to explore how the Fiddler AI Observability Platform for MLOps enables data scientists and AI practitioners to monitor, explain, analyze, and improve ML models.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-leadership-perspectives-use-cases-and-roi-of-llms |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - Leadership Perspectives: Use Cases and ROI of LLMs</div><p class="resource-description">Watch this panel of industry leaders share their insights on LLM implementation and their significant impact on business ROI in their respective fields.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-chat-on-chatbots-tips-and-tricks |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - Chat on Chatbots: Tips and Tricks</div><p class="resource-description">In this workshop, Murtuza Shergadwala shares his experiences in building the RAG-based Fiddler Chatbot, and provides tips and tricks on prompt engineering, and more.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-can-llms-be-explained |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - Can LLMs Be Explained?</div><p class="resource-description">Watch this session as Josh Rubin explores the question of whether LLMs can be explained, emphasizing that understanding a model's behavior is crucial for identifying weaknesses, ensuring robustness, and aiding human decision-making.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-fireside-chat-ceos-in-conversation |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - Fireside Chat: CEOs in Conversation</div><p class="resource-description">In this fireside chat with CEOs Krishna Gade and Lukas Biewald, they discuss AI trends, leveraging LLMs, and the complexities of LLM deployment at scale.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-how-is-chatgpts-behavior-changing-over-time |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - How is ChatGPT’s Behavior Changing Over Time?</div><p class="resource-description">In this session, Stanford Professor James Zou discusses how ChatGPT's behavior is changing over time. Discover the fascinating research findings and implications for AI language models. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-evaluating-llms-with-fiddler-auditor |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - Evaluating LLMs with Fiddler Auditor</div><p class="resource-description">Watch this workshop to learn the importance of evaluating LLMs using Fiddler Auditor, strategies to mitigate prompt injection attacks, and developments in LLMs.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-llm-poc-to-production-insights-from-an-infrastructure-viewpoint |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - LLM POC to Production: Insights From
an Infrastructure Viewpoint</div><p class="resource-description">Watch this AI expert panel discuss the advancements and challenges in LLMs from proof-of-concept to production, the complexities of LLMOps, and regulatory compliance.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-everyday-challenges-and-opportunities-with-llms-pre-and-post-production |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - Everyday Challenges and Opportunities with LLMs Pre- and Post-Production</div><p class="resource-description">Watch this expert panel discuss generative AI in enterprise, focusing on model efficiency, personalization, RAG's role, and aligning AI with business needs.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/ai-forward-the-science-and-engineering-behind-llms |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-11-20</div><div class="text-size-large text-weight-medium">AI Forward - The Science and Engineering Behind LLMs</div><p class="resource-description">Watch this keynote from Hanlin Tang on the discussion of the science and engineering behind LLMs in enterprise applications, the choice between buying LLM services from external providers and building custom models, specialized domain-specific models, and more.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">11/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/fiddler-auditor-evaluate-llms-to-prevent-prompt-injection-attacks |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-10-19</div><div class="text-size-large text-weight-medium">Fiddler Auditor: Evaluate LLMs to Prevent Prompt Injection Attacks</div><p class="resource-description">Improve LLMs with robustness testing before deploying them to production.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">10/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/monitor-nlp-and-llm-based-embeddings-for-data-drift |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-07-05</div><div class="text-size-large text-weight-medium">Quicktour: Monitor NLP and LLM-based Embeddings for Data Drift</div><p class="resource-description">Learn how Fiddler’s unique, clustering-based method accurately monitors data drift in NLP models and LLM-based embeddings.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">07/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/fiddler-auditor-the-open-source-robustness-library-for-red-teaming-of-llms |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-06-08</div><div class="text-size-large text-weight-medium">Fiddler Auditor: The Open Source Robustness Library for Red-teaming of LLMs</div><p class="resource-description">Learn more about Fiddler Auditor, the open source robustness library that facilitates red teaming of LLMs. Improve LLMs with robustness testing before deploying them to production.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">06/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/fiddler-auditor-improve-llms-with-robustness-testing-in-pre-production |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-06-02</div><div class="text-size-large text-weight-medium">Fiddler Auditor: How to Improve LLMs with Robustness Testing in Pre-Production</div><p class="resource-description">Learn about Fiddler Auditor, the open source robustness library that facilitates red teaming of LLMs. Robustness testing is a critical step in pre-production to minimize hallucinations, bias, and adversarial attacks. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">06/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/llm-based-embedding-monitoring-track-llm-performance-by-monitoring-drift |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-05-22</div><div class="text-size-large text-weight-medium">LLM-based Embedding Monitoring: Track LLM Performance by Monitoring Drift</div><p class="resource-description">Learn how to track the performance of LLM-based embeddings from OpenAI, Cohere, Anthropic, and other LLMs by monitoring drift using Fiddler. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">05/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/deliver-high-performing-ml-for-better-business-outcomes |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Video</div><div class="badge is-beige w-condition-invisible"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-04-26</div><div class="text-size-large text-weight-medium">Quicktour: Deliver High-Performing ML for Better Business Outcomes </div><p class="resource-description">Learn how Fiddler AI Observability provides ML teams with a unified platform to deliver and improve high-performing ML models while saving time and money. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">04/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/gai-meets-rai-enterprise-generative-ai-promises-vs-compromises |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-04-19</div><div class="text-size-large text-weight-medium">Generative AI Meets Responsible AI: Enterprise Generative AI - Promises vs Compromises</div><p class="resource-description">Watch this session from Ali Arsanjani, PhD, Head of the AI Center of Excellence at Google, to learn about the importance of explainability, adaptability, and risk-minimizing in enterprise generative AI. </p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">04/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/gai-meets-rai-llmops-operationalizing-large-language-models |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-04-19</div><div class="text-size-large text-weight-medium">Generative AI Meets Responsible AI: LLMOps - Operationalizing Large Language Models</div><p class="resource-description">Hear from Amit Prakash, CTO and Co-founder at ThoughtSpot; Diego Oppenheimer, Partner and CEO in Residence at Factory; and Roie Schwaber-Cohen, Staff Developer Advocate at Pinecone on how LLMOps optimizes MLOps for LLMs, the key pieces of a generative AI workflow, and how ML teams can leverage LLMs in their applications.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">04/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/gai-meets-rai-thinking-of-ai-as-a-public-service |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-04-19</div><div class="text-size-large text-weight-medium">Generative AI Meets Responsible AI: Thinking of AI as a Public Service</div><p class="resource-description">Saad Ansari, Director of AI at Jasper AI, dives into how AI can be used for societal benefit, the importance of intentionality when designing new technology, and applications for generative AI.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">04/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/gai-meets-rai-best-practices-for-responsible-ai |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-04-19</div><div class="text-size-large text-weight-medium">Generative AI Meets Responsible AI: Best Practices for Responsible AI</div><p class="resource-description">Watch this panel session with Ricardo Baeza-Yates, Director of Research at Institute for Experiential AI, Northeastern University; Miriam Vogel, President and CEO at EqualAI, Chair at National AI Advisory Committee; Toni Morgan, Responsible Innovation Manager at TikTok, to learn why responsible AI principles and frameworks are necessary, why model governance is important, and the limitations of LLMs.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">04/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/gai-meets-rai-innovating-with-generative-ai |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-04-18</div><div class="text-size-large text-weight-medium">Generative AI Meets Responsible AI: Innovating with Generative AI</div><p class="resource-description">Watch this panel session with Payel Das, Principal Research Staff Member and Manager, Trusted AI a IBM Research; Srinath Sridhar, CEO and Co-founder at Regie.ai; Casey Corvino, CTO and Co-founder at Lavender AI to learn how engineering teams are using generative AI to improve productivity and how IBM is using generative AI to drive medical advances.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">04/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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| /resources/gai-meets-rai-explainability-in-the-age-or-generative-ai |
<div class="content-card_wrapper resources"><div><div class="resource-card_resources"><div class="content-card_container resources"><div class="content-card_content"><div class="status-wrapper"><div fs-cmsfilter-field="type" class="text-size-small font-family-mono">Webinar</div><div class="badge is-beige"><div fs-cmsfilter-field="type">On-demand</div></div></div><div><div fs-cmssort-field="date" class="content_sort-date">2023-04-18</div><div class="text-size-large text-weight-medium">Generative AI Meets Responsible AI: Explainability in the Age of Generative AI</div><p class="resource-description">Watch this session with George Mathew, Managing Director at Insight Partners to learn about the current state of AI, the different modalities of human and machine interaction, the advancements, and challenges AI presents.</p><div fs-cmsfilter-field="type" class="text-size-xsmall text-color-gray600">04/2023</div></div></div></div></div></div><div class="resource-cms-topic"><div fs-cmsnest-element="nest-target" fs-cmsnest-collection="topic" class="fs_cmsnest_content"></div></div></div>
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