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Code and documentation to train Stanford's Alpaca models, and generate the data.
Python 30.2k 4k
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Jupyter Notebook 2k 314
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
Python 845 67
Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
Jupyter Notebook 18 4
ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."
Python 119 7
Jupyter Notebook 44 37
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