Agentic AI: A Progression of Language Model Usage

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Summary

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
  • The most common blindspots managers struggle with while leading remote teams
  • The most common blindspots managers struggle with while leading remote teams
  • The most common blindspots managers struggle with while leading remote teams
  • Item 4
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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.

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