LLMOps
Language: English
Published by O'Reilly Media, US, 2025
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
Here's the thing about large language models: they don't play by the old rules. Traditional MLOps completely falls apart when you're dealing with GenAI. The model hallucinates, security assumptions crumble, monitoring breaks, and agents can't operate. Suddenly you're in uncharted territory. That's exactly why LLMOps has emerged as its own discipline.LLMOps: Managing Large Language Models in Production is your guide to actually running these systems when real users and real money are on the line. This book isn't about building cool demos. It's about keeping LLM systems running smoothly in the real world.Navigate the new roles and processes that LLM operations requireMonitor LLM performance when traditional metrics don't tell the whole storySet up evaluations, governance, and security audits that actually matter for GenAIWrangle the operational mess of agents, RAG systems, and evolving promptsScale infrastructure without burning through your compute budget.
Seller Inventory # LU-9781098154202
- Title
- LLMOps
- Author
- Abi Aryan
- Publisher
- O'Reilly Media, US
- Publication year
- 2025
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1098154207
- ISBN 13
- 9781098154202
Here's the thing about large language models: they don't play by the old rules. Traditional MLOps completely falls apart when you're dealing with GenAI. The model hallucinates, security assumptions crumble, monitoring breaks, and agents can't operate. Suddenly you're in uncharted territory. That's exactly why LLMOps has emerged as its own discipline.
LLMOps: Managing Large Language Models in Production is your guide to actually running these systems when real users and real money are on the line. This book isn't about building cool demos. It's about keeping LLM systems running smoothly in the real world.
- Navigate the new roles and processes that LLM operations require
- Monitor LLM performance when traditional metrics don't tell the whole story
- Set up evaluations, governance, and security audits that actually matter for GenAI
- Wrangle the operational mess of agents, RAG systems, and evolving prompts
- Scale infrastructure without burning through your compute budget
"Synopsis" may belong to another edition of this title.
About the Author
Abi has authored research papers in AutoML, multi-agent systems, and large language models, and actively reviews for leading research conferences and workshops, including NeurIPS, ACL (Association for Computational Linguistics), EMNLP (Empirical Methods in Natural Language Processing), and AABI (Advances in Approximate Bayesian Inference). She is currently advancing research in reflective intelligence in AI agents, distributed self-healing protocols for multi-agent systems, and GPU engineering for very large-scale AI systems.
"About the title" may belong to another edition of this title.
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