IDEAS home Printed from https://ideas.repec.org/h/spr/fuobcp/978-3-031-54252-7_8.html

From LLMOps to DevSecOps for GenAI

In: Generative AI Security

Author

Listed:
  • Ken Huang

    (DistributedApps.ai)

  • Vishwas Manral

    (McAfee Enterprise)

  • Wickey Wang

    (ISACA)

Abstract

This chapter explores the emerging discipline of LLMOps, contrasting it with traditional MLOps approaches and highlighting unique considerations when operationalizing GenAI models and applications. A detailed examination of implementing LLMOps across the model lifecycle is provided, encompassing activities like base model selection, prompt engineering, model tuning, deployment, and monitoring. Recognizing security as a critical priority, strategies for integrating DevSecOps into LLMOps are outlined, establishing security as a shared responsibility across the development and operational lifecycle. The chapter offers conceptual foundations and practical guidance for successfully navigating the intricacies of LLMOps.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-54252-7_8
DOI: 10.1007/978-3-031-54252-7_8
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Keywords

;
;
;
;
;
;
;
;
;
;
;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:fuobcp:978-3-031-54252-7_8. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.