Stanford Webinar - Agentic AI: A Progression of Language Model Usage
For more information about Stanford's Artificial Intelligence programs visit: https://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 …
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Chapters (22)
Introduction
0:10
Overview of the Talk
1:50
Training Language Models
2:30
Modeling Objectives
4:00
Examples of Training Data Formatting
5:40
Applications of Language Models
6:50
Using API for Language Models
9:00
Best Practices for Prompt Preparation
11:10
Importance of Clear Instructions
13:40
Reflection and Improvement Techniques
16:30
Tool Usage and Function Calling
20:30
Definition of Agentic Language Models
21:50
Reasoning and Action in Agentic Models
24:00
Example of a Customer Support AI Agent
29:20
Summary of Applications
36:00
Key Design Patterns in Agentic Models
44:00
Summary of Agentic Language Model Usage
47:40
Audience Q&A
50:00
Addressing Ethical Considerations
54:50
Getting Started with Language Models
57:00
Resources for Staying Updated
58:20
Closing Remarks
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