Optimizing AI Agent Interactions | 25min snip from "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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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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CHAPTER

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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In this episode of The Cognitive Revolution, Nathan welcomes back Div Garg, Co-Founder and CEO of MultiOn, for his third appearance to discuss the evolving landscape of AI agents. We explore how agent development has shifted from open-ended frameworks to intelligent workflows, MultiOn's unique approach to agent development, and their journey toward achieving human-level performance. Dive into fascinating insights about data collection strategies, model fine-tuning techniques, and the future of agent authentication. Join us for an in-depth conversation about why 2025 might be the breakthrough year for AI agents.

Check out MultiOn: https://www.multion.ai/

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CHAPTERS:

(00:00:00) Teaser

(00:00:40) About the Episode

(00:04:10) The Rise of AI Agents

(00:06:33) Open-Ended vs On-Rails

(00:10:00) Agent Architecture

(00:12:01) AI Learning & Feedback

(00:14:01) Data Collection (Part 1)

(00:18:27) Sponsors: Oracle Cloud Infrastructure (OCI) | SelectQuote

(00:20:51) Data Collection (Part 2)