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    LM Human Preferences

    LM Human Preferences

    Code for the paper Fine-Tuning Language Models from Human Preferences

    ...The code is provided “as is” and explicitly says it may no longer run out-of-the-box due to dependencies or dataset migrations. It was tested on the smallest GPT-2 (124M parameters) under a specific environment (TensorFlow 1.x, specific CUDA / cuDNN combinations). It includes utilities for launching experiments, sampling from policies, and simple experiment orchestration.
    Downloads: 0 This Week
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