SKU/Artículo: AMZ-B0FCD35Q6H

Building Claude models: A Python Developer's guide to Real world AI Workflows

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Paperback

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Paperback

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0.43 kg
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Sobre este producto
  • Building with Claude Models: A Python Developer’s Guide to Real World AI Workflows is a practical, developer-focused guide to engineering powerful, real-world applications with Claude—Anthropic’s state-of-the-art AI model series. Designed for Python developers who want to move beyond experimentation and into production-grade systems, this book offers the foundational theory, architectural patterns, and hands-on workflows necessary to fully leverage Claude’s capabilities in modern AI development.Whether you’re designing tool-augmented agents, retrieval-augmented generation pipelines, or building safe and interpretable AI backends, this guide walks you through how to think, build, and scale with Claude using Python, LangChain, FastAPI, and more.What You Will LearnHow Claude differs from other LLMs in its design, alignment approach, reasoning capability, and safety modelThe right way to set up and interface with Claude using Python, SDKs, and HTTP callsStrategies for writing prompts that are robust, interpretable, and aligned with human intentSystem prompt design and memory-aware multi-turn workflows tailored to production environmentsDesigning and registering tool APIs for real-time function execution with ClaudeBuilding Claude-powered agents using LangChain, including memory, tool routing, and task delegationImplementing RAG (Retrieval-Augmented Generation) with Claude using semantic search, LlamaIndex, and LangChainIntegrating Claude into full-stack systems with FastAPI and asynchronous Python for scalable deploymentsEvaluating Claude’s outputs with reliability metrics, simulation prompts, and constraint testsManaging cost efficiency, system alignment, and runtime diagnostics in real-world production settingsWho This Book Is ForPython developers building AI tools, SaaS platforms, internal assistants, or knowledge systemsMachine learning engineers incorporating Claude into production pipelinesTechnical architects and backend engineers integrating Claude into scalable, privacy-aware systemsDevelopers transitioning from GPT, Gemini, or open-source models to Claude with a focus on safety, control, and reasoningBuilders seeking more than chatbot-level implementations—those aiming for tool use, reasoning, and human-centered interactionWhat Makes This Book DifferentDeveloper-Centric and Production-Oriented: Focuses on Claude as a platform for real applications—not as a novelty or a prototype toyPractical and API-Driven: Centered on realistic Python development workflows using modern tools like LangChain, LlamaIndex, FastAPI, and Anthropic SDKsGrounded in Reasoning and Alignment: Deeply integrates Claude’s unique strengths in chain-of-thought, tool use, memory handling, and constitutional alignmentNo Filler, No Tutorials, No Overviews: This is not an intro to LLMs or a high-level overview—it’s a detailed, expanded, and implementation-ready handbookFocused on Safety, Cost, and Reliability: Addresses key production needs including rate limits, token management, system-level alignment, and failure recoveryBuilt for the Claude Era: Designed for developers who want to build systems that reason—not just respond—with clarity, transparency, and controlIf you're building intelligent software and need a guide that combines deep technical detail, real-world architecture, and the unique capabilities of Claude models—Building with Claude Models: A Python Developer’s Guide to Real World AI Workflows is the authoritative handbook to get you there.
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