#deepeval
Live, measured metrics for the hashtag #deepeval from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #deepeval
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 14:12 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 14:12 UTCNo related tags with measured usage found for #deepeval.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 14:12 UTCEverything below is measured over the latest 18 public posts (spanning ~17147 hours).
Posting hours (UTC) — busiest: 11:00
Languages: Russian (14) · English (4)
Avg boosts / post: 0
Top of the latest posts
Abhishek Yadav (@abhishek__AI) DeepEval이 LLM 앱을 일반 소프트웨어처럼 테스트할 수 있는 평가 도구를 소개했다. 30개 이상의 평가 지표, CI/CD 연동, 멀티턴·에이전트 테스트, 합성 데이터셋 생성 기능을 제공하며 OpenAI, Claude, LangChain, CrewAI 등 다양한 생태계를 지원한다. https://x.com/abhishek__AI/status/20522291971759
RAG Testing: как не сломать retrieval RAG ломается не так, как обычный LLM. У голой языковой модели одна поверхность отказа - генерация. У RAG-системы таких поверхностей две: retrieval и generation. И ломаются они по-разному. Retriever може
Тестирование LLM-приложений с DeepEval В этой статье я расскажу о способе написания тестов для LLM-приложений с использованием инструмента DeepEval. Рассмотрены базовые концепции данного инструмента, а также приведен пример его использовани
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/deepeval