Language Model Insights
An increased emphasis on careful annotation is driving significant advancements in language models. Sara shares her perspective on the role of reinforcement learning in fine-tuning, suggesting that the quality of annotations may be more critical than the optimization methods used. She also highlights the challenges of making large language models accessible and efficient at scale.In this clip
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Machine Learning Street Talk (MLST)
#92 - SARA HOOKER - Fairness, Interpretability, Language Models
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