Language Model Flexibility
Keith and Tim discuss the flexibility of language models, highlighting the importance of maintaining a balance between statistical tractability and model flexibility. Cameron adds insights on language model behavior in unexplored regimes, emphasizing the challenges of steering these models effectively.In this clip
From this podcast
Machine Learning Street Talk (MLST)
What’s the Magic Word? A Control Theory of LLM Prompting.
Related Questions