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DSPy Agentic AI Engineering: Build AI Agents, RAG Pipelines, Tool-Calling Systems, and Production-Ready LLM Applications with DSPy
Paperback
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Publisher: Independently Published
Pages: 174
Weight: 0.69
Height: 0.37 Width: 7.00 Depth: 10.00
Language: English
The book introduces the core principles behind DSPy programming, including signatures, modules, optimization pipelines, dataset-driven improvements, and evaluation systems. You'll also explore integration strategies for APIs, vector databases, memory systems, and deployment environments used in modern AI infrastructure.
What You Will Learn:
- Core DSPy architecture and modular AI programming
- Building AI agents and multi-step reasoning systems
- Retrieval-Augmented Generation (RAG) workflows
- Tool calling and API integration pipelines
- Structured outputs and typed generation
- Prompt optimization and teleprompting systems
- Dataset engineering and evaluation workflows
- Memory and context management for AI agents
- FastAPI, Docker, and production deployment strategies
- Debugging, monitoring, and improving DSPy applications
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