ISBN: 9798274126847 - llms in python: 50+ expert-level python projects for mastering large language models, langchain, and langgraph architectures (13 risultati)

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Condizione: As New. Unread book in perfect condition.

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Paperback. Condizione: new. Paperback. Unlock the full engineering power of Large Language Models with Python.In LLMs in Python (2026 Edition), acclaimed AI engineer and author Finn Cordex delivers a hands-on, expert-level guide to designing, building, fine-tuning, and deploying modern language models. This is not another beginner's tutorial-it's a complete engineering playbook packed with 50+ real-world Python projects that reveal exactly how today's most advanced AI systems are built.From core transformer theory to multi-agent workflows and Retrieval-Augmented Generation (RAG), every chapter blends deep technical insight with practical, runnable code. You'll move step-by-step through building and scaling production-ready LLM systems using LangChain, LangGraph, Python, and state-of-the-art open-source frameworks.What You'll LearnMaster the architecture and inner workings of Large Language ModelsBuild and train LLMs from scratch using modern Python toolchainsFine-tune and optimize models with LoRA, PEFT, and transfer-learning methodsCreate advanced LangChain pipelines for multi-step reasoning and agentic AIImplement LangGraph for context-aware, structured decision workflowsDesign Retrieval-Augmented Generation (RAG) systems that ground LLMs in dataDeploy, scale, and monitor production-grade LLMs in cloud environmentsExplore 50+ hands-on projects that reinforce every concept through real-world use casesWho This Book Is ForThis book is written for developers, data scientists, and AI engineers who already know Python and want to move beyond theory into true LLM engineering mastery. Whether you're building enterprise AI systems, autonomous agents, or custom language applications, you'll find actionable techniques, expert commentary, and deployable code ready to use in your own projects.Why This Book Stands OutExpert-Level Projects: Each project builds on the last, guiding you from fundamental model construction to multi-agent AI design.Cutting-Edge Frameworks: Covers LangChain, LangGraph, RAG, and modern agentic patterns.Up-to-Date for 2026: Reflects the latest breakthroughs in LLM architecture, fine-tuning, and open-source tooling.Engineer's Perspective: Written by Finn Cordex-an author known for bridging research theory with hands-on, production-grade AI engineering.If you're serious about mastering Large Language Models in Python, this is your definitive guide.Build, deploy, and scale next-generation AI systems with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Unlock the full engineering power of Large Language Models with Python.In LLMs in Python (2026 Edition), acclaimed AI engineer and author Finn Cordex delivers a hands-on, expert-level guide to designing, building, fine-tuning, and deploying modern language models. This is not another beginner's tutorial-it's a complete engineering playbook packed with 50+ real-world Python projects that reveal exactly how today's most advanced AI systems are built.From core transformer theory to multi-agent workflows and Retrieval-Augmented Generation (RAG), every chapter blends deep technical insight with practical, runnable code. You'll move step-by-step through building and scaling production-ready LLM systems using LangChain, LangGraph, Python, and state-of-the-art open-source frameworks.What You'll LearnMaster the architecture and inner workings of Large Language ModelsBuild and train LLMs from scratch using modern Python toolchainsFine-tune and optimize models with LoRA, PEFT, and transfer-learning methodsCreate advanced LangChain pipelines for multi-step reasoning and agentic AIImplement LangGraph for context-aware, structured decision workflowsDesign Retrieval-Augmented Generation (RAG) systems that ground LLMs in dataDeploy, scale, and monitor production-grade LLMs in cloud environmentsExplore 50+ hands-on projects that reinforce every concept through real-world use casesWho This Book Is ForThis book is written for developers, data scientists, and AI engineers who already know Python and want to move beyond theory into true LLM engineering mastery. Whether you're building enterprise AI systems, autonomous agents, or custom language applications, you'll find actionable techniques, expert commentary, and deployable code ready to use in your own projects.Why This Book Stands OutExpert-Level Projects: Each project builds on the last, guiding you from fundamental model construction to multi-agent AI design.Cutting-Edge Frameworks: Covers LangChain, LangGraph, RAG, and modern agentic patterns.Up-to-Date for 2026: Reflects the latest breakthroughs in LLM architecture, fine-tuning, and open-source tooling.Engineer's Perspective: Written by Finn Cordex-an author known for bridging research theory with hands-on, production-grade AI engineering.If you're serious about mastering Large Language Models in Python, this is your definitive guide.Build, deploy, and scale next-generation AI systems with confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…