Language Model Training
Edward and Tim discuss the challenges of RLHF in training language models, emphasizing the importance of aligning human feedback with model goals. They delve into the nuances of preference tuning and the impact of annotator qualifications on model performance.In this clip
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Machine Learning Street Talk (MLST)
#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy
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