SKU/Artículo: AMZ-B0FLPH3BY2

DSPy Context Engineering for Developers: Structure, Optimize, and Supercharge Your AI Agent Workflows (The AI Developer Series)

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.29 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • DSPy Context Engineering for Developers: Structure, Optimize, and Supercharge Your AI Agent Workflows What if you could make your AI agents not only smarter, but also more reliable, efficient, and production-ready? Are you struggling with brittle prompts, forgotten user context, or unpredictable model responses as you build your language model-powered apps? You’re not alone—these are the pain points that stall innovation for even the most advanced teams.DSPy Context Engineering for Developers: Structure, Optimize, and Supercharge Your AI Agent Workflows is the hands-on guide for developers, engineers, and AI practitioners who want to master context engineering—the core discipline for building next-generation LLM systems. This book shows you how to move beyond guesswork and prompt tweaks, giving you the structure and workflow patterns you need to create modular, testable, and cost-effective agents that perform in real-world scenarios.Inside, you’ll learn how to:Architect context-aware agents that remember, reason, and adapt across multi-turn conversationsImplement robust pipelines using DSPy’s signatures, modules, and optimizer toolsAutomate prompt tuning for accuracy, relevance, and lower token costsBuild persistent memory flows, retrieval-augmented generation, and multi-agent coordinationEnforce output quality and policy compliance with LM assertions and self-correcting logicIntegrate your workflows with MLflow for experiment tracking, cost control, and scalable deploymentPacked with ready-to-run code examples and actionable strategies, this book empowers you to:Build and debug modular AI workflows that stand up to production demandsScale your DSPy pipelines seamlessly across model providersReduce operational costs with caching, batching, and disciplined call managementFutureproof your apps with transparent, testable, and maintainable design patternsIf you’re ready to structure, optimize, and supercharge your AI agent workflows, this book is your essential resource. Grab your copy of DSPy Context Engineering for Developers now and start building agents that make context your competitive edge.
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