LLM Engineering - Production Systems for the Agentic Era
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Home > Computing and Information Technology Books > Computer science > Artificial intelligence > Natural language and machine translation > LLM Engineering - Production Systems for the Agentic Era: Fine-Tuning, RAG, Agents, and LLMOps
LLM Engineering - Production Systems for the Agentic Era: Fine-Tuning, RAG, Agents, and LLMOps

LLM Engineering - Production Systems for the Agentic Era: Fine-Tuning, RAG, Agents, and LLMOps


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About the Book

Instead of focusing on isolated techniques, this book gives you a complete systems-level approach-combining fine-tuning, retrieval, agents, and LLMOps into one cohesive engineering discipline.


Inside, you'll learn how to:
  • Design LLM systems that work reliably beyond the "happy path"
  • Choose between prompting, RAG, and fine-tuning with clear decision frameworks
  • Build scalable inference pipelines with predictable latency and cost
  • Fine-tune models efficiently using LoRA, QLoRA, and modern alignment methods
  • Implement retrieval systems that actually improve accuracy (not just complexity)
  • Architect agent systems that can plan, act, and recover from failure
  • Evaluate LLM outputs with rigorous, production-ready metrics
  • Optimize performance across cost, latency, and quality trade-offs
  • Deploy, monitor, and maintain LLM systems using real LLMOps practices

Along the way, you'll build/create:
  • A model routing system that dynamically selects the cheapest model for each task
  • A complete fine-tuning pipeline with evaluation and deployment
  • A production-grade RAG system with hybrid retrieval and re-ranking
  • A multi-agent system with tool use and orchestration
  • A full LLM production stack deployed with observability, guardrails, and CI/CD

This book is for software engineers, ML engineers, AI practitioners, and technical leaders who are moving from experimentation to real-world deployment.

If you already understand the basics of LLMs but struggle with reliability, scaling, or system design-this is the missing piece.

What sets this book apart:

  • It focuses on production systems, not toy examples
  • It provides end-to-end architecture, not isolated techniques
  • It emphasizes engineering trade-offs and decision-making, not hype

By the time you finish the book, you would have learned how LLMs work- how to ship them, scale them, and trust them in production.


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Product Details
  • ISBN-13: 9798257524363
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 235 mm
  • No of Pages: 404
  • Returnable: N
  • Sub Title: Fine-Tuning, RAG, Agents, and LLMOps
  • Width: 191 mm
  • ISBN-10: 8257524360
  • Publisher Date: 15 Apr 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 21 mm
  • Weight: 689 gr


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