Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Applied LLMOps: Building Scalable and Reliable Large Language Model Systems

Applied LLMOps: Building Scalable and Reliable Large Language Model Systems

Royce, Taylor

Paperback

Series: Books on Tech, Book 95

General Computers

ISBN13: 9798263795146
Publisher: Independently Published
Published: Sep 4 2025
Pages: 152
Weight: 0.47
Height: 0.33 Width: 6.00 Depth: 9.00
Language: English
AI is being revolutionized by large language models (LLMs), but scaling its implementation is difficult. In the absence of an appropriate operational framework, business effect stalls, expenses increase, and models diverge.

By considering LLMs as enterprise assets rather than experiments, Applied LLMOps shows how to get over these challenges. The entire lifespan of LLM operations will be covered therein, from data sourcing and cleansing to fine-tuning, deployment, monitoring, and retraining. Additionally, you will learn how to manage bias, maintain compliance, optimize infrastructure, and protect security.

Using the techniques in this book will enable you to:

  1. Create dependable and scalable LLM pipelines.
  2. Lower operating expenses without compromising effectiveness.
  3. Protect AI systems from security risks and data drift in the future.

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