Bridging the AI Agent Prototype-to-Production Chasm
The Data Exchange with Ben Lorica
Evolving AI Agents: Bridging Knowledge Gaps with Reinforcement Learning
This chapter explores the development of AI agents, focusing on the importance of reinforcement learning and effective reward functions. It addresses the challenges companies face in finding advanced language model expertise and proposes the use of intelligent reasoning models to enhance AI reliability.
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