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portada The AI Builder. Create Generative AI Applications with Python, LangChain, and CuttingEdge Foundation Models (en Inglés)
Formato
Libro Físico
Año
2026
Idioma
Inglés
N° páginas
342
Encuadernación
Tapa Blanda
Dimensiones
22.9x15.2x1.8 cm
ISBN13
9798257908156

The AI Builder. Create Generative AI Applications with Python, LangChain, and CuttingEdge Foundation Models (en Inglés)

Richard Boozman (Autor) · Independently published · Tapa Blanda

The AI Builder. Create Generative AI Applications with Python, LangChain, and CuttingEdge Foundation Models (en Inglés) - RICHARD BOOZMAN

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Reseña del libro "The AI Builder. Create Generative AI Applications with Python, LangChain, and CuttingEdge Foundation Models (en Inglés)"

Design, build, and launch real world generative AI products from idea to deployment

Generative AI is changing how software is created.

From intelligent assistants to automated workflows and content generation systems, the ability to build with AI is becoming a core skill for modern developers.

"The AI Builder" is a practical, hands on guide to creating generative AI applications using Python, LangChain, and modern foundation models.

This book focuses on building complete systems, not just experimenting with prompts.


Why building AI applications is different

Creating real AI products introduces new challenges:

managing context and memoryhandling unpredictable model outputsintegrating external data sourcescontrolling cost and latencyensuring reliability in production

This book shows you how to design systems that solve these problems.


What you will learnfundamentals of generative AI systemsprompt engineering strategies that workbuilding applications with LangChainretrieval augmented generation systemsconnecting LLMs to databases and APIsdesigning multi step AI workflowsmanaging memory and conversation stateevaluating and improving output qualityoptimizing performance and costdeploying scalable AI applications
From idea to working AI product

Throughout the book, you will learn how to:

turn ideas into functional AI applicationsdesign robust system architecturesintegrate AI into real software workflowsbuild pipelines for data and inferencecreate reliable user facing AI systemsdeploy and monitor applications in production

Each chapter is focused on real development workflows.


Practical applicationsAI powered SaaS toolsintelligent chatbots and assistantsdocument processing systemsautomated content generationknowledge retrieval platformsworkflow automation tools

These examples reflect modern AI use cases.


Who this book is fordevelopers and engineersAI enthusiastsstartup foundersproduct buildersprofessionals creating AI applications

If you want to move from experimentation to building real generative AI products, this book provides the roadmap.

Build with purpose.
Design intelligently.
Launch AI applications with confidence.

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