LLMOps, Managing Large Language Models in Production

LLMOps: Managing Large Language Models in Production

Architect the intelligent deployment pipelines of the next era and master the high-performance protocols of modern generative AI engineering. LLMOps provides a definitive, engineering-first roadmap to the most significant shift in technical operations since the rise of MLOps. Learn how to move beyond experimental notebooks to high-velocity, production-ready AI ecosystems—bridging the gap between a standalone model and a sophisticated, monitored LLM application—ensuring your digital products are resilient, scalable, and ready for the 2026 software landscape.

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What You Will Learn:

Foundations of LLM Infrastructure: Master the core principles of model hosting, vector database selection, and the essential mechanics of inference optimization.

Modern Fine-Tuning & Evaluation: Step-by-step guidance on utilizing LoRA, QLoRA, and RLHF to maintain the structural integrity of your model's performance with professional-grade precision.

Continuous Monitoring & Guardrails: Discover how to utilize automated hallucination detection and prompt safety filters to maintain technical agility and user trust.

Strategic Security & Cost Management: Learn advanced techniques for maintaining information security within your LLM pipelines, protecting against prompt injection and managing API latency and token costs at scale.

Who This Book is For: This professional-grade guide is essential for AI Engineers, ML Platform Architects, and Data Scientists. It is an invaluable resource for any technical lead—including those building highly secure, AI-integrated graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, intelligence-led software delivery.

Product Details:

Format: Digital PDF Download

Author: Abi Aryan

Publisher: O'Reilly Media

ISBN-13: 9781098154202

ISBN-10: 1098154207