AI Agents: Limitations in Intelligence and Planning - A Chess Experiment

Explore the limitations of AI agents in this comprehensive video that puts the most powerful language models to the test against a computer chess model. Dive into a detailed analysis of LLM-powered AI agents' planning capabilities and uncover crucial limitations to consider when building with these technologies. Follow along as the presenter runs through Python scripts, compares single LLM agents, multi-LLM agents, and mixture-of-agents approaches against a chess computer, and provides insights into the current state of AI agent intelligence. Gain valuable knowledge about AI engineering, large language models, and the practical applications of AI agents in problem-solving scenarios. Access additional resources, including hands-on projects, GitHub repositories, and academic papers, to further enhance your understanding of AI agent capabilities and limitations.

Introduction:
Python Script Run Through:
Single LLM Agent vs Chess Computer:
Multi-LLM Agent vs Chess Computer:
Mixture-of-Agents vs Chess Computer:
The limitations of LLM Agents: