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Essential Guide to LLMOps Cover

Essential Guide to LLMOps

Implementing effective strategies for Large Language Models in deployment and continuous improvement

Publisher:Packt Publishing Limited
By:   
Paid access
|Jan 2025
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Table of contents

Table of Contents

  1. Introduction to LLMs and LLMOps
  2. Reviewing LLMOps Components
  3. Processing Data in LLMOps Tools
  4. Developing Models via LLMOps
  5. LLMOps Review and Compliance
  6. LLMOps Strategies for Inference, Serving, and Scalability
  7. LLMOps Monitoring and Continuous Improvement
  8. The Future of LLMOps and Emerging Technologies
PDF ISBN: 978-1-83588-751-6
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 190
Related subjects:
Computer sciences,
Artificial intelligence

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