Adaptive Learning Challenges
Sara discusses the limitations of current models, highlighting the issues of global updates and the lack of adaptive capacity. Tim adds to the conversation by exploring the fascinating nature of language models, questioning their understanding and the potential for separating knowledge from presentation. Together, they delve into the implications of reasoning within these models and how they could reflect our values.In this clip
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Machine Learning Street Talk (MLST)
#92 - SARA HOOKER - Fairness, Interpretability, Language Models
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