Defining AI Agents and Their Evolving Role

This chapter explores the definition and scope of AI agents, emphasizing the need for semi-autonomous systems that effectively collaborate with human users. It highlights the potential of a flagship agent from agent.ai, designed for personalized analysis and strategy development, while addressing the limitations and necessary improvements in AI models.

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In this sponsored episode of The Cognitive Revolution, Nathan interviews Andrei Oprisan, Engineering Lead at Agent.ai. They explore the cutting-edge world of AI agents and their impact on the future of work. Andrei shares insights on language model limitations, best practices for building AI agents, and Agent AI's vision as a professional network for AI agents. The conversation covers technical details like fine-tuning models, vector database choices, and privacy-preserving techniques. Don't miss this deep dive into AI's role in transforming industries and the skills needed in an AI-augmented workplace.

Check out Agent.ai website here: https://agent.ai

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SPONSORS:

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Brave: The Brave search API can be used to assemble a data set to train your AI models and help with retrieval augmentation at the time of inference. All while remaining affordable with developer first pricing, integrating the Brave search API into your workflow translates to more ethical data sourcing and more human representative data sets. Try the Brave search API for free for up to 2000 queries per month at https://bit.ly/BraveTCR

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Spotify: https://open.spotify.com/show/2HwSNeVLL1MXy0RjFPyOSz

CHAPTERS:

(00:00:00) About the Show

(00:00:22) Sponsors: Weights & Biases Weave

(00:01:28) About the Episode

(00:05:36) Introduction and AI Agents Overview

(00:07:02) Current State of AI Agents

(00:11:30) Building and Optimizing AI Agents

(00:19:01) Sponsors: Oracle | Brave

(00:21:05) Agent.ai Platform and Marketplace

(00:31:12) Sponsors: Omneky | Squad

(00:32:38) Customization and Context for Agents