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confident-ai/deepeval

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The LLM Evaluation Framework

22 mentions on Hacker News by 10 people: 12 stories, 10 comments · first 2023-08-15 · latest 2026-01-10

Mentions per year 22 mentions · busiest year 2023 (12)
20082026
  1. Checkout this instead: https://github.com/confident-ai/deepeval Also has native ragas implementation but supports all models.
  2. …we've got more Open Source LLM Evaluation Libraries coming in more often. We're using DeepEval ( https://github.com/confident-ai/deepeval ) currently. How is this different from that?
  3. …well for us because we can evaluate any LLMs, something this library doesn't seem to support ( https://github.com/confident-ai/deepeval ).
  4. …these new models on their local setup in under 10 lines of code. Hope someone finds this useful: https://github.com/confident-ai/deepeval
    comment by 3d27 · 2024-03-04 · in Claude 3 model family
  5. R2R uses deepeval for their evaluation :) https://github.com/confident-ai/deepeval
  6. There's a lot more in the evaluation space, including this one: https://github.com/confident-ai/deepeval
    comment by 3d27 · 2024-02-26 · in AI Infrastructure Landscape
  7. …domain specific subset)! So there are [quite]( https://github.com/microsoft/promptbench ) [a]( https://github.com/confident-ai/deepeval ) [few]( https://github.com/openai/evals ) [frameworks]( https://github.com/EleutherAI/lm-evaluation-har…
  8. A link to a reddit post (with no discussion) which links to this repo https://github.com/confident-ai/deepeval
  9. …to OpenAI enterprise and ensure consistency results - would recommend checking the open source repo https://github.com/confident-ai/deepeval
    comment by jacky2wong · 2023-08-29 · in ChatGPT Enterprise
  10. …or even your own internal framework. The idea is you would use our open source package ( https://github.com/confident-ai/deepeval ) to evaluate LLM outputs using criteria such as factual consistency, relevancy, bias, etc, and be able to…
    comment by jipster · 2023-08-25