Optimizing Agent Design
Sayash discusses the importance of retrying as a baseline for evaluating complex agent architectures, emphasizing the need for meaningful comparisons. He highlights the DSPY framework, which automates the optimization of language model prompts and showcases its effectiveness in improving accuracy through tailored examples.In this clip
From this podcast

Machine Learning Street Talk (MLST)
Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)
Related Questions