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Mastering DSPy AI Workflows: A Practical Guide to Programmatic Prompting, and Next-Gen LLM Engineering - Brossura
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Mastering DSPy AI Workflows is a clear, practical, and modern guide to building powerful AI systems using DSPythe declarative framework reshaping how developers interact with large language models.
DSPy replaces unreliable prompt tweaking with a structured, programmatic approach. Instead of crafting prompts by hand, you design predictable, modular workflows that automatically optimize themselves. This book teaches you how to use DSPy’s signatures, modules, and optimizers to build smarter AI applications with less guesswork and more control.
From retrieval-augmented generation (RAG) and reasoning pipelines to automated agents and system-level LLM orchestration, this book walks you through DSPy’s capabilities step-by-step. Each chapter is built around actionable examples, clean explanations, and real-world use cases so you can apply the concepts immediately.
What You Will Learn:
- The core principles of DSPy and declarative AI
- How to design structured, maintainable LLM workflows
- Building reusable modules with predictable behavior
- Automating prompt optimization using DSPy optimizers
- Constructing RAG systems, reasoning pipelines, and agent workflows
- Evaluating, refining, and scaling AI applications
- Best practices for production-ready LLM engineering
If you want to master DSPy and build next-generation AI workflows, this is your roadmap.
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Mastering DSPy AI Workflows (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condizione: new. Paperback. Mastering DSPy AI Workflows is a clear, practical, and modern guide to building powerful AI systems using DSPythe declarative framework reshaping how developers interact with large language models.DSPy replaces unreliable prompt tweaking with a structured, programmatic approach. Instead of crafting prompts by hand, you design predictable, modular workflows that automatically optimize themselves. This book teaches you how to use DSPy's signatures, modules, and optimizers to build smarter AI applications with less guesswork and more control.From retrieval-augmented generation (RAG) and reasoning pipelines to automated agents and system-level LLM orchestration, this book walks you through DSPy's capabilities step-by-step. Each chapter is built around actionable examples, clean explanations, and real-world use cases so you can apply the concepts immediately.What You Will Learn: The core principles of DSPy and declarative AIHow to design structured, maintainable LLM workflowsBuilding reusable modules with predictable behaviorAutomating prompt optimization using DSPy optimizersConstructing RAG systems, reasoning pipelines, and agent workflowsEvaluating, refining, and scaling AI applicationsBest practices for production-ready LLM engineeringWhether you're new to AI development or transitioning from traditional prompt engineering, this book gives you the tools and confidence to build reliable, high-performance systems that scale in the real world.If you want to master DSPy and build next-generation AI workflows, this is your roadmap. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798274425186
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Mastering DSPy AI Workflows
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798274425186
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Mastering DSPy AI Workflows
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798274425186
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Mastering DSPy AI Workflows (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Mastering DSPy AI Workflows is a clear, practical, and modern guide to building powerful AI systems using DSPythe declarative framework reshaping how developers interact with large language models.DSPy replaces unreliable prompt tweaking with a structured, programmatic approach. Instead of crafting prompts by hand, you design predictable, modular workflows that automatically optimize themselves. This book teaches you how to use DSPy's signatures, modules, and optimizers to build smarter AI applications with less guesswork and more control.From retrieval-augmented generation (RAG) and reasoning pipelines to automated agents and system-level LLM orchestration, this book walks you through DSPy's capabilities step-by-step. Each chapter is built around actionable examples, clean explanations, and real-world use cases so you can apply the concepts immediately.What You Will Learn: The core principles of DSPy and declarative AIHow to design structured, maintainable LLM workflowsBuilding reusable modules with predictable behaviorAutomating prompt optimization using DSPy optimizersConstructing RAG systems, reasoning pipelines, and agent workflowsEvaluating, refining, and scaling AI applicationsBest practices for production-ready LLM engineeringWhether you're new to AI development or transitioning from traditional prompt engineering, this book gives you the tools and confidence to build reliable, high-performance systems that scale in the real world.If you want to master DSPy and build next-generation AI workflows, this is your roadmap. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798274425186
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