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Lessons Learned from Building Agentic Systems With Jayeeta Putatunda

AI Explained

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Navigating Agentic Systems Development

This chapter explores the intricate development of agentic systems, emphasizing the importance of addressing user needs and evaluation challenges. It offers a structured framework for AI teams, highlights the significance of collaboration, and discusses the balance between risk and output quality in autonomous systems. The chapter also addresses the unpredictability of conversational agents, the need for stakeholder trust, and the transition from deterministic to modular AI software development.

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