From LLM Prototype to Production: The Practical guide Building RAG Applications, AI Agents, Tool Calling, Evaluation, Security, and Reliable Systems - A developer's field

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Bol FROM LLM PROTOTYPE TO PRODUCTION is a practical field guide for developers who want to move beyond experimenting with large language models and build reliable, production-ready AI applications.This book takes you through the essential building blocks of modern LLM engineering, including RAG applications, AI agents, tool calling, evaluation, security, and production reliability. Instead of focusing only on theory, it helps you understand how these components fit together and how to approach the challenges that arise when turning an AI prototype into a real-world system.Inside, you'll explore practical concepts and strategies for designing AI applications that are more accurate, secure, testable, maintainable, and dependable.With 181 pages of practical guidance, this book is designed as a useful reference for developers, AI engineers, software engineers, and technical builders working with modern LLM applications.Learn the architecture. Understand the trade-offs. Build beyond the prototype. Ship with confidence.

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FROM LLM PROTOTYPE TO PRODUCTION is a practical field guide for developers who want to move beyond experimenting with large language models and build reliable, production-ready AI applications.This book takes you through the essential building blocks of modern LLM engineering, including RAG applications, AI agents, tool calling, evaluation, security, and production reliability. Instead of focusing only on theory, it helps you understand how these components fit together and how to approach the challenges that arise when turning an AI prototype into a real-world system.Inside, you'll explore practical concepts and strategies for designing AI applications that are more accurate, secure, testable, maintainable, and dependable.With 181 pages of practical guidance, this book is designed as a useful reference for developers, AI engineers, software engineers, and technical builders working with modern LLM applications.Learn the architecture. Understand the trade-offs. Build beyond the prototype. Ship with confidence.


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