LLMOps: Managing Large Language Models in Production - Softcover

Aryan, Abi

 
9781098154202: LLMOps: Managing Large Language Models in Production
Softcover
ISBN 10: 1098154207 ISBN 13: 9781098154202
Verlag: O'Reilly Media, 2025

Inhaltsangabe

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

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Über die Autorin bzw. den Autor

Abi Aryan is the founder of Abide AI (www.abideai.com) and a machine learning research engineer with nearly a decade of experience building production-level ML systems. A mathematician by training, she previously served as a visiting research scholar at the Cognitive Systems Lab at UCLA, under Dr. Judea Pearl, where she focused on developing intelligent agents.

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.

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Verlag
O'Reilly Media
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
1098154207
ISBN 13 
9781098154202
Einband
Taschenbuch
Anzahl der Seiten
281
Kontakt zum Hersteller
O'Reilly
https://oreilly.com

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