All About Agentic AI

Andrews Ng, Founder and Executive Chairman of Landing AI, explores the rise of AI, agents, and the growing role of unstructured data. He also discusses how this convergence will shape automation and application building across industries. 

Topics -

  • Intro - AI as the New Electricity: 00:00:00
  • The AI Stack and Opportunities: 00:00:54
  • Faster ML Model Development: 00:01:48
  • Gen AI vs Supervised Learning: 00:02:05
  • Consequences of fast development: 00:03:12
  • Agentic AI Workflows: 00:06:32
  • Agentic Reasoning Design Patterns: 00:09:56
  • Reflection With LLMs: 00:10:31
  • Tool Use: 00:12:23
  • Planning/Reasoning: 00:12:53
  • Multiagent Collaboration: 00:13:31
  • Demo: Agentic Workflow and Video Q&A App -
  • Visual AI Applications & Demos: 00:15:08
  • Vision Agent Demo Applications: 00:20:00
  • AI Stack and Agentic Orchestration: 00:22:30
  • Four Important AI Trends: 00:23:25
  • Conclusion and Next Steps: 00:25:56

 

Insop Song, Principal Machine Learning Researcher at GitHub Next, introduces 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.

Chapters:

  • 00:00 - Introduction
  • 00:10 - Overview of the Talk
  • 01:50 - Training Language Models
  • 02:30 - Modeling Objectives
  • 04:00 - Examples of Training Data Formatting
  • 05:40 - Applications of Language Models
  • 06:50 - Using API for Language Models
  • 09:00 - 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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