Index

Welcome to DSPy tutorials! We've organized our tutorials into three main categories to help you get started:

• Build AI Programs with DSPy: These hands-on tutorials guide you through building production-ready AI applications. From implementing RAG systems to creating intelligent agents, each tutorial demonstrates practical use cases. You'll also learn how to leverage DSPy optimizers to enhance your program's performance.

• Optimize AI Programs with DSPy Optimizers: These tutorials deep dive into DSPy's optimization capabilities. While lighter on programming concepts, they focus on how to systematically improve your AI programs using DSPy optimizers, and showcase how DSPy optimizers help improve the quality automatically.

• DSPy Core Development: These tutorials cover essential DSPy features and best practices. Learn how to implement key functionalities like streaming, caching, deployment, and monitoring in your DSPy applications.

• Build AI Programs with DSPy

  • Managing Conversation History
  • Building AI Agents with DSPy
  • Building AI Applications by Customizing DSPy Modules
  • Retrieval-Augmented Generation (RAG)
  • Building RAG as Agent
  • Entity Extraction
  • Classification
  • Multi-Hop RAG
  • Privacy-Conscious Delegation
  • Program Of Thought
  • Image Generation Prompt iteration
  • Audio

• Optimize AI Programs with DSPy

  • Math Reasoning
  • Classification Finetuning
  • Advanced Tool Use
  • Finetuning Agents

• Reflective Prompt Evolution with dspy.GEPA:

  • Overview
  • GEPA for AIME
  • GEPA for PAPILLON
  • GEPA for Enterprise classification task
  • GEPA for Code Backdoor Classification (AI control)

• Experimental RL Optimization:

  • Overview
  • RL for Privacy-Conscious Delegation
  • RL for Multi-Hop Research

• Tools, Development, and Deployment

  • Use MCP in DSPy
  • Output Refinement
  • Saving and Loading
  • Cache
  • Deployment
  • Debugging & Observability
  • Tracking DSPy Optimizers
  • Streaming
  • Async

• Real-World Examples:

  • Overview
  • Generating llms.txt
  • Email Information Extraction
  • Memory-Enabled ReAct Agents with Mem0
  • Financial Analysis with Yahoo Finance
  • Automated Code Generation from Documentation
  • Building a Creative Text-Based AI Game