LLMs in Enterprise

LLMs in Enterprise: Design Strategies, Patterns, and Best Practices

Architect your intelligence logic and master the high-performance protocols of modern AI-driven engineering. LLMs in Enterprise provides a definitive, engineering-first roadmap to the most significant shift in corporate decision-making since the digital revolution. Learn how to move beyond basic chatbots to high-velocity, multi-agent discovery—bridging the gap between a standalone language model and a sophisticated, AI-integrated software ecosystem—ensuring your technical projects are resilient, scalable, and ready for the 2026 global technology landscape.

Note: This is a digital product and the download link will be sent to your email address immediately after payment.

What You Will Learn:

Foundations of Enterprise AI Architecture: Master the core principles of Large Language Model (LLM) integration and the essential mechanics of transitioning from unstructured data to intelligent business insights.

Modern Orchestration Workflows: Step-by-step guidance on utilizing RAG (Retrieval-Augmented Generation) and advanced fine-tuning to maintain peak operational integrity in your AI applications.

Scalable Inferencing Patterns: Discover how to utilize zero-shot and few-shot learning to maintain the structural integrity and technical agility of your complex Generative AI solutions.

Strategic Security & Ethical Integrity: Learn advanced techniques for maintaining information security within your LLM pipelines, protecting against hallucinations and ensuring the technical agility of your fairness and accountability protocols.

Who This Book is For: This professional-grade guide is essential for AI/ML Researchers, Data Scientists, and Enterprise Architects. It is an invaluable resource for any technical lead—including those building highly advanced, AI-powered graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, evidence-based software and system delivery.

Product Details:

Format: Digital PDF/EPUB Download

Authors: Ahmed Menshawy; Mahmoud Fahmy

Publisher: Packt Publishing (September 2025)

Pages: 564

ISBN-13: 9781836203063

ISBN-10: 1836203063