LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development
Author:   Ahmed Menshawy ,  Mahmoud Fahmy
Publisher:   Packt Publishing Limited
ISBN:  

9781836203070


Pages:   564
Publication Date:   19 September 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development


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Full Product Details

Author:   Ahmed Menshawy ,  Mahmoud Fahmy
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781836203070


ISBN 10:   1836203071
Pages:   564
Publication Date:   19 September 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Introduction to Large Language Models LLMs in Enterprise: Applications, Challenges, and Design Patterns Advanced Fine-Tuning Techniques and Strategies for Large Language Models Retrieval-Augmented Generation Pattern Customizing Contextual LLMs The Art of Prompt Engineering for Enterprise LLMs Enterprise Challenges in Evaluating LLM Applications The Data Blueprint: Crafting Effective Strategies for LLM Development Managing Model Deployments in Production Accelerated and Optimized Inferencing Patterns Connected LLMs Pattern Monitoring LLMs in Production Responsible AI in LLMs Emerging Trends and Multimodality

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Author Information

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. 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.

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