Explore the cutting-edge DSPy framework developed by Stanford NLP University in this comprehensive 19-minute video tutorial. Dive into the essentials of DSPy, its advantages in RAG applications, and learn how to set it up step-by-step. Discover why DSPy is crucial in modern AI, how it simplifies workflows, and enhances AI reasoning. Follow along as the tutorial guides you through creating a chatbot, implementing Chain of Thoughts, and building a full-fledged RAG application. Compare and evaluate different approaches, including basic RAG, uncompiled Bailing RAG, and compiled Bailing RAG with optimizer. Gain valuable insights into DSPy's key components, installation process, and practical applications to effectively integrate this groundbreaking technology into your AI projects.
DSPy: Advanced AI RAG Framework with Auto Reasoning and Prompting
Overview
Syllabus
- Introduction to DSPy
- Advantages of DSPy
- Key Components of DSPy
- Getting Started with DSPy
- Initial Setup
- Configuration and Data Loading
- Creating a Basic Chatbot Question Answering
- Adding Chain of Thought
- Creating a RAG Application
- Defining Signature for RAG
- Creating RAG Module
- Creating Optimizer
- Executing the RAG Pipeline
- Evaluating Different Approaches
- Evaluating Basic RAG
- Evaluating Uncompiled Baleen RAG
- Evaluating Compiled Baleen RAG with Optimizer
- Summary and Comparison of Results
Taught by
Mervin Praison
