Agentic AI: A Progression of Language Model Usage

Explore the evolution and applications of agentic language models in this Stanford University webinar led by GitHub Next's Principal Machine Learning Researcher, Insop Song. Delve into fundamental concepts of language models (LMs), examining their capabilities and inherent limitations while discovering advanced usage patterns including reflection, planning, and tool integration. Master key topics such as Retrieval Augmented Generation (RAG), agentic LMs, and design patterns that enhance AI system performance. Learn from Song's extensive experience at GitHub Next and Microsoft, where he specialized in leveraging machine learning and large language models to improve engineering productivity through code fine-tuning, document assistance tools, and AI-driven engineering solutions. Gain practical insights from this 57-minute session that bridges theoretical understanding with real-world applications in the rapidly evolving field of artificial intelligence.