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LLMs in Enterprise

You're reading from LLMs in Enterprise Design strategies, patterns, and best practices for large language model development

Product type Paperback

Published in Sep 2025

Publisher Packt

ISBN-13 9781836203070

Length 564 pages

Edition 1st Edition

Languages

Python

Concepts

GPT/LLMs

Authors (2):

Ahmed Menshawy

Mahmoud Fahmy

View More author details

Table of Contents (20) Chapters

Preface

1. Part 1: Background and Foundational Concepts

2. Introduction to Large Language Models FREE CHAPTER

3. LLMs in Enterprise: Applications, Challenges, and Design Patterns

4. Advanced Fine-Tuning Techniques and Strategies for Large Language Models

5. Retrieval-Augmented Generation Pattern

6. Customizing Contextual LLMs

7. Part 2: Advanced Design Patterns and Techniques

8. The Art of Prompt Engineering for Enterprise LLMs

9. Enterprise Challenges in Evaluating LLM Applications

10. The Data Blueprint: Crafting Effective Strategies for LLM Development

11. Managing Model Deployments in Production

12. Accelerated and Optimized Inferencing Patterns

13. Part 3: GenAI in the Enterprise

14. Connected LLMs Pattern

15. Monitoring LLMs in Production

16. Responsible AI in LLMs

17. Emerging Trends and Multimodality

18. Other Books You May Enjoy

19. Index

Reference

Weiser, B. (2023, June 22). Here’s what happens when your lawyer uses ChatGPT. The New York Times: https://www.nytimes.com/2023/05/27/nyregion/avianca-airline-lawsuit-chatgpt.html

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Authors (2)

Ahmed Menshawy

Ahmed Menshawy

Ahmed Menshawy is the Vice President of AI Engineering at Mastercard. He leads the AI Engineering team to drive the development and operationalization of AI products, address a broad range of challenges and technical debts for ML pipelines deployment. He also leads a team dedicated to creating several AI accelerators and capabilities, including serving engines and feature stores, aimed at enhancing various aspects of AI engineering.

See other products by Ahmed Menshawy

Mahmoud Fahmy

Mahmoud Fahmy

Mahmoud Fahmy is a Lead Machine Learning Engineer at Mastercard, specializing in the development and operationalization of AI products. His primary focus is on optimizing machine learning pipelines and navigating the intricate challenges of deploying models effectively for end customers.

See other products by Mahmoud Fahmy

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