Stanford Webinar - Agentic AI: A Progression of Language Model Usage

For more information about Stanford's Artificial Intelligence programs visit: stanford.io/ai
In this webinar, you will gain an introduction to the concept of agentic language models (LMs) and their usage. You will learn about common limitations of LMs and agentic LM usage patterns, such as reflection, planning, tool usage, and iterative LM usage.
This online session will cover:
Overview of LMs
LM Usage and limitations
Retrieval Augmented Generation (RAG)
Tool usage
Agentic LMs
Agentic design patterns
About the speaker: Insop Song
Insop is a Principal Machine Learning Researcher at GitHub Next. Previously he worked at Microsoft, where he focused on leveraging machine learning and large language models to boost engineering productivity. His projects included fine-tuning open-source large language models with internal code and text, developing document assistance tools, and applying AI to various engineering tasks. He is currently a course developer as well as a course facilitator for Stanford Online’s professional AI program.

[@NoHandleToSpeakOf]

Agentic Ai talk starts at 29:22

[@amolkhade445]

thanks for saving time

[@TerragonAI]

thx 🙂

[@shahzadhuq]

ty

[@juliocesar1908]

Loved the course!

[@ArunMPEdison]

Thank you much for these specific details.

[@nautsuper]

Thank you a lot, loved it

[@_AMANKUMAR-cd8mt]

Great course for beginners

[@bastabey2652]

one demo or test example could have made the material more approachable

[@maniroudsari9691]

loved it.