Benchmarking Transparency
Percy discusses the comprehensive evaluation of models, emphasizing standardized methodologies for transparent benchmarking. He highlights the importance of reproducibility in benchmarking results and the potential pitfalls of overfitting to benchmarks.In this clip
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Gradient Dissent - A Machine Learning Podcast
Shaping AI Benchmarks with Together AI Co-Founder Percy Liang
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