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Langchain Training Material

Content

    1. Introduction
    2. Model I/O
    3. Retreival
    4. Chains
    5. Memory
    6. Agents

Topics covered

  1. Langchain Introduction [1 Hour]

    • Modules Overview
    • OpenAI API Connection
    • Loading LLMs
      • OpenAI
      • Open source models
    • Basic Prompting
    • Referring Documentation

  2. Model I/O [4.5 Hours]

    • Prompt for text-completion and chat-completion models
    • Response Caching
    • Few Shot Prompting
    • Prompt Templating
    • Serialization - Saving & Loading Prompts
    • Output Parsing
    • Sample Project
    • Deploying Project with a Frontend (Local & Cloud)

  3. Retreival [9 Hours]

    • Introduction
    • Data Loaders (with Assignment)
    • Text Splitters
    • Embedding Functions
    • Vector Stores
    • Retrievers
    • RAG

Upcoming topics

Latest available Tutorial code

Latest available Reference code

Smart Chef Project code

Few Shot Prompting with RAG

Tasks/Exercies/Projects assigned

  • Create a cross-questioning model with and without a system prompt
  • Write a blog on few shot prompting
  • Project ideas (Pick any one of them)
    • Real time text translation
    • Text Summarization tool
    • Q&A System
    • Travel Planner
    • Tweet Responder
  • Deploy your own project or the sample project
  • Explore Text Chunking on the given sample datasets
  • Learn about NSW and HSNW
  • Combine Multiple Retrievers and Experiment
  • Build PrivateGPT using RAG