AI Agents and Long Context Windows with Mark Huang
Software Huddle
Challenges and Success of Training AI Agents
The chapter explores the process of training AI agents at scale, highlighting the challenges faced and insights gained by a small team from a startup. It touches on the complexities of handling large AI models, the importance of proper data and training environments, and the common use cases for long context windows in AI applications. Additionally, it discusses the necessary steps for AI agents to become successful and widely used, including improving reliability, planning, reasoning capabilities, and interpretability.
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