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Interpretable AI models.

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  1. infembed infembed Public

    Find the samples, in the test data, on which your (generative) model makes mistakes.

    Python 26 1

  2. Liger-Kernel Liger-Kernel Public

    Forked from linkedin/Liger-Kernel

    Efficient Triton Kernels for LLM Training

    Python

  3. olmes olmes Public

    Forked from allenai/olmes

    Reproducible, flexible LLM evaluations

    Python

  4. safety-eval-fork safety-eval-fork Public

    Forked from nouhadziri/safety-eval-fork

    A simple evaluation of generative language models and safety classifiers.

    Python

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