Agents Masterclass from LangChain Founder - LLM Bootcamp

Dive into a comprehensive masterclass on AI agents led by Harrison Chase, co-creator of LangChain. Explore the concept of agents as tool-using language models with long-term memory, and understand their significance in AI development. Learn about the ReAct framework for reasoning and acting, and delve into key challenges such as controlling tool use, parsing tool invocations, maintaining long-term memory and coherence, and evaluation methods. Discover how agents can develop memory and adaptability, and examine real-world examples including AutoGPT, BabyAGI, CAMEL, and the "Generative Agents" paper. Gain valuable insights into the future of AI agents and their potential applications in various fields.

What are "agents"?
Why use agents?
ReAct: Reasoning to Act
Challenge: controlling tool use
Challenge: parsing tool invocations
Challenge: long-term memory and coherence
Challenge: evaluation
Agent memory and adaptability
Example: AutoGPT
Example: BabyAGI
Example: CAMEL
Example: "Generative Agents" paper