Localizing and Editing Knowledge in LLMs with Peter Hase - #679
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Understanding Easy to Hard Generalization in Machine Learning for Drug Trials
This chapter explores easy to hard generalization in machine learning, focusing on large language models' role in recommending drug trials. It highlights challenges in data reliability while discussing how LLMs can provide valuable insights from limited datasets, potentially reducing costly data collection efforts.
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