jeffheaton / cabi_genai_automation

Introduction to Automation with LangChain, Generative AI, and Python

Washington University, Olin School of Business

CABI: Center for Analytics and Business Insights

• Introduction to Automation with LangChain, Generative AI and Python
• May 14 and 15, 2024

Getting Started

To obtain needed files clone this repository with the following command:

git clone https://github.com/jeffheaton/cabi_genai_automation.git

• Make sure to run install.ipynb

Helpful Links

• Jeff Heaton, YouTube, GitHub
• Applications of Generative AI
• Applications of Deep Neural Networks

Models Used

• amazon.titan-text-lite-v1
• anthropic.claude-3-sonnet-20240229-v1:0
• anthropic.claude-v2:1
• meta.llama3-70b-instruct-v1:0
• mistral.mistral-7b-instruct-v0:2
• stability.stable-diffusion-xl-v1

Day 1: May 14, 2024

Day 1 Slides

• 9:00 AM – Introduction to Generative AI
• 9:30 AM – Getting Started
  • Introduction to GenAI
  • Prompt Based Development
    • Intro to LangChain
    • Code Generation
    • Revisions of Code Generation
    • Assisted Debugging
    • Software Engineering
    • Limitations of AI Code Generation
• 11:30 AM – Lab 1
• 12:00 PM – Lunch
• 1:00 PM – Resume after lunch
  • Introduction to LLM
    • Intro to LLM
    • Text Generation
    • Text Summarization
    • LLM Writes a Book
  • LangChain and Chat Memory
    • Buffer Limited Memory
    • Token Limited Memory
    • Memory through Summarization
    • Persisting a Chat
• 3:00 PM – Lab 2
  • Data Extraction
    • LangChain Data Extraction
    • LangChain Parsers
    • Pydantic Validation
• 5:00 PM – End of day 1

Day 2: May 15, 2024

• 9:00 AM – AWS Presentation
• 10:00 AM - Corporate ChatBots/1904 Labs
• 11:00 AM - StreamLit
  • Create your own ChatBot App
• 11:30 AM - Lab 3
• 12:00 PM – Lunch
• 1:00 PM - Resume after lunch
  • Text to Image
• 1:30 PM - Lab 4
• 2:00 PM - Automation Applications
  • Teaching Assistant
• 3:00 PM - Small Large Language Models
  • LLM Studio
• 5:00 PM – End of day 2