We're creating a new course on AI Agents at CMU this Fall!
We’re aiming to give students hands-on experience: from building agentic harnesses and evals to training with RL.
Check out our course site for the full schedule: https://t.co/DW9J20fpZD https://t.co/wKn89YDx60
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
Why it matters
If you're building AI agents and want to go beyond tutorials, this CMU graduate course offers a structured, research-backed curriculum covering the full stack of AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → design — tool useA model's ability to call external functions — run code, search the web, edit files — instead of only generating text.Full definition →, memory, planning, and safety — shaped by an active LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition → agents researcher at one of the top NLP programs in the world. It's the difference between picking up concepts piecemeal and having a coherent academic framework that connects the dots.
