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SKU/Artículo: AMZ-B0FDGVR37R
Declarative AI with DSPY: Build Smarter LLM Applications with Python
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.53 kg
0.53 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Declarative AI is redefining how we build, scale, and deploy intelligent systems. At the center of this shift is DSPy—a cutting-edge Python framework that lets developers express AI logic in a modular, composable, and optimizable form. Instead of micromanaging prompts or juggling APIs, DSPy enables structured orchestration of language models using declarative programming patterns. As LLMOps, prompt engineering, and agentic AI continue to dominate the AI landscape, mastering DSPy is your competitive edge. Written by a technical expert and practitioner, Declarative AI with DSPy is based on the latest advancements in open-source LLM frameworks, pipeline compilation, function calling, and streaming AI architectures. Whether you're building with OpenAI, Anthropic, Mistral, or open-source LLMs like LLaMA 3, this book gives you the production-ready skills to apply DSPy in modern, high-performance environments. This is the first complete guide to DSPy in practice. You’ll go beyond basic prompt tinkering and learn how to architect robust, testable, and scalable AI workflows. From zero-shot chains and Chain-of-Thought reasoning to RAG pipelines, tool-using agents, and multilingual flows, you’ll gain actionable expertise in building declarative LLM applications with clarity, control, and performance tuning in mind. Each chapter includes clear explanations, real-world examples, and step-by-step DSPy code.Introduction to declarative AI programmingBuilding and debugging DSPy Modules and SignaturesCreating multi-turn conversational agentsStructuring retrieval-augmented generation (RAG) pipelinesWorking with function calling, JSON constraints, and output verificationImplementing auto-tuning, self-improving prompts, and evaluation metricsHandling security, hallucination, and bias in AI promptsScaling to production with API deployment, monitoring, and cost optimization This book is for AI engineers, data scientists, full-stack developers, ML researchers, and software architects who want to move beyond the basics and build advanced LLM applications. You should be comfortable with Python and have some experience using language models like GPT, Claude, or Mixtral. Whether you work at a startup, enterprise, or research lab, DSPy will elevate your workflow. You don’t need months of experimentation. In just a few days of focused learning, you'll unlock DSPy’s full potential. With clear patterns and reusable abstractions, you’ll write less prompt code and achieve more predictable, reliable, and optimized LLM behavior—faster than ever. If you’re serious about building smarter, faster, and more reliable AI systems, Declarative AI with DSPy is your roadmap. Stay ahead of the curve in 2025’s AI revolution—buy now and transform how you work with language models forever.
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