MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI
Python, Prompt Engineering, Data Science — Build the Skills Employers Want Now
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
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.
Syllabus
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
Taught by
The Full Stack