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

Stanford Online

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YouTube
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  • Presented by Insop Song, Principal Machine Learning Researcher at GitHub Next

Intermediate. Assumes working knowledge.

698K views1 year ago

AI and machine learningTransformers and LLMsAI agents and tool use

Insop Song introduces agentic language models, exploring design patterns like reflection, planning, tool usage, and iterative execution.

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. Chapters: - Introduction - Overview of the Talk - Training Language Models - Modeling Objectives - Examples of Training Data Formatting - Applications of Language Models - Using API for Language Models - Best Practices for Prompt Preparation - Importance of Clear Instructions - Reflection and Improvement Techniques - Tool Usage and Function Calling - Definition of Agentic Language Models - Reasoning and Action in Agentic Models - Example of a Customer Support AI Agent - Summary of Applications - Key Design Patterns in Agentic Models - Summary of Agentic Language Model Usage - Audience Q&A - Addressing Ethical Considerations - Getting Started with Language Models - Resources for Staying Updated - Closing Remarks

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