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Home > Computing and Information Technology > Computer science > Artificial intelligence > Agentic AI Mastery with DSPy: Build Modular, Self-Improving AI Agents Using Declarative Python Programming
Agentic AI Mastery with DSPy: Build Modular, Self-Improving AI Agents Using Declarative Python Programming

Agentic AI Mastery with DSPy: Build Modular, Self-Improving AI Agents Using Declarative Python Programming


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About the Book

Agentic AI Mastery with DSPy: Build Modular, Self-Improving AI Agents Using Declarative Python Programming Are you tired of endlessly tuning prompts, wrestling with unreliable outputs, and building fragile AI agents that break under real-world conditions? What if you could craft robust, scalable, and truly self-improving AI agents without sacrificing hours to guesswork? Agentic AI Mastery with DSPy provides a revolutionary, proven approach to building production-grade AI agents using declarative Python programming. DSPy lets you specify exactly what you want your agents to do-clearly and concisely-and handles prompt refinement, error correction, and continuous optimization automatically. Instead of brittle, hand-crafted prompts, DSPy empowers you to define modules, assertions, and optimization loops in clean Python code, ensuring your agents remain accurate, resilient, and cost-effective. By reading this book, you'll master how to: Construct zero-shot and few-shot predictive modules with precise input-output definitions. Implement retrieval-augmented generation (RAG) pipelines that scale effortlessly and reliably. Design sophisticated agents that seamlessly invoke external tools, APIs, and data sources. Deploy automatic optimization loops-like BootstrapFewShot, MIPRO, and fine-tuning-so your agents continually improve their accuracy and performance without manual intervention. Incorporate multimodal capabilities, human-in-loop feedback, and multi-agent orchestration for enterprise-grade scalability. Leverage integrated MLOps tools-MLflow, Redis caching, and real-time monitoring dashboards-to track, analyze, and control costs and agent quality in production environments. Perfect for AI engineers, Python developers, and technical leaders seeking reliable, efficient ways to deploy modular, self-improving AI agents, this practical, hands-on guide is your blueprint for success. Stop fighting fragile AI prompts and start building robust, scalable agents today. Get Agentic AI Mastery with DSPy now, and transform the way you deliver intelligent applications.


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Product Details
  • ISBN-13: 9798288051593
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 170
  • Returnable: N
  • Sub Title: Build Modular, Self-Improving AI Agents Using Declarative Python Programming
  • Width: 178 mm
  • ISBN-10: 8288051596
  • Publisher Date: 14 Jun 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 9 mm
  • Weight: 358 gr


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