Evaluate LLMs with Language Model Evaluation Harness

Ғылым және технология

In this tutorial, I delve into the intricacies of evaluating large language models (LLMs) using the versatile Evaluation Harness tool. Explore how to rigorously test LLMs across diverse datasets and benchmarks, including HellaSWAG, TruthfulQA, Winogrande, and more. This video features the LLaMA 3 model by Meta AI and demonstrates step-by-step how to conduct evaluations directly in a Colab notebook, offering practical insights into AI model assessment.
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GitHub Repo: github.com/AIAnytime/Eval-LLMs
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Пікірлер: 12

  • @TheIITianExplorer
    @TheIITianExplorer2 ай бұрын

    I love you man, ❤ You are awesome, keep uploading 😊

  • @Techonsapevole
    @Techonsapevole2 ай бұрын

    Thanks, great LLM tips

  • @vishnubhatlaprasanth5240
    @vishnubhatlaprasanth524011 күн бұрын

    if i want to evaluate the LLM using custom data set is that possible using the GIT repo that you have provided here?

  • @joserfjunior8940
    @joserfjunior89402 ай бұрын

    I LIKE THIS... nice job man !

  • @bdoriandasilva
    @bdoriandasilvaАй бұрын

    nice! thank you for the video!

  • @muhammedajmalg6426
    @muhammedajmalg64262 ай бұрын

    nice work

  • @sagarbhaskar8688
    @sagarbhaskar868827 күн бұрын

    do we have to add any dataset?

  • @A7_-
    @A7_-22 күн бұрын

    Can i do it on llava model

  • @krishnapriya9881
    @krishnapriya98812 ай бұрын

    PackageNotFoundError: No package metadata was found for bitsandbytes. I am getting this error even though bitsandbytes is installed and my cuda version is 12.1, please help me with this

  • @saumyajaiswal6585
    @saumyajaiswal65852 ай бұрын

    What about langsmith?It does the same thing right?

  • @abhijoy.sarkar
    @abhijoy.sarkarАй бұрын

    How to do it on whole mmlu?

  • @araara2142
    @araara21422 ай бұрын

    I need rag chatbot part 2 video, please release, my exam is coming

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