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O'Reilly LLMOps - Managing Large Language Models in Production

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Description

Traditional MLOps fails when applied to Generative AI. Large language models bring unique challenges like hallucinations, security vulnerabilities, and monitoring failures that standard workflows cannot handle. LLMOps: Managing Large Language Models in Production by O'Reilly Media provides a specialized guide for navigating this uncharted territory. This book moves beyond building simple demos to focus on the practical realities of running LLM systems in professional environments. It addresses the specific needs of managing agents and maintaining stability when real users and real money are at stake. Learn how to handle the shift from traditional machine learning to the new discipline of LLMOps to keep your production systems running smoothly.

Key Features

LLMOps: Managing Large Language Models in Production by O'Reilly offers a guide to running GenAI systems in professional environments.

This O'Reilly book addresses specific challenges like model hallucinations and crumbling security assumptions in LLM systems.

Learn to manage the transition from traditional MLOps to the specialized discipline of LLMOps for generative AI.

The content focuses on maintaining stable LLM systems for real-world applications where users and financial stakes are involved.

Gain practical knowledge on handling monitoring breaks and agent operations within large language model production cycles.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 July 2025
Listed Since
28 August 2024

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