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The Blueprint For AI Agents That Work (ft Diamond Bishop)

Tool Use - AI Conversations

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Advancing Self-Improving AI Agents

This chapter explores the creation of adaptive AI agents that learn from user interactions, focusing on tools that empower smaller teams to develop these technologies without heavy expert involvement. It discusses the emergence of ambient agents capable of responding to environmental cues autonomously while weighing privacy concerns associated with passive data collection. The dialogue underscores the balance between leveraging innovations in voice recognition and maintaining user trust, alongside strategies for effective AI performance evaluation.

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