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The Evolution of AI Agents: Lessons from 2024, with MultiOn CEO Div Garg

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Optimizing AI Agent Interactions

This chapter explores various model fine-tuning strategies, particularly the comparison between LoRa and dense parameter tuning methods. It discusses the challenges AI agents face in navigating complex web interfaces and emphasizes the importance of developing specialized frameworks for efficient interaction. The conversation further delves into future applications of AI agents in business, highlighting the need for user-friendly solutions and simplified automation processes.

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