Building Production-Ready LLMs: A Practical Guide to Developing, Optimizing, and Deploying Reliable LLMs with Prompting, Fine-Tuning, and …

Product Description

Price: ₹1,520.00
(as of Feb 13, 2025 20:59:22 UTC – Details)

Large Language Models (LLMs) are revolutionizing industries by enabling machines to understand and generate human-like text. As these models grow in complexity, their potential for real-world applications has expanded—from customer service automation to advanced content generation and beyond. However, building, optimizing, and deploying production-ready LLMs presents a unique set of challenges. This book provides a step-by-step guide to mastering the essential techniques for taking LLMs from concept to real-world deployment.

This comprehensive guide is authored by an AI expert [Cobin Einstein] with extensive experience in developing and deploying LLMs across industries. Through real-world examples, code samples, and hands-on exercises, this book equips readers with the knowledge and tools to build reliable, scalable, and efficient LLM systems. You’ll learn from someone who has tackled the practical challenges of LLM deployment and is eager to share insights gained from years of working at the forefront of AI.

Summary of the Book:

Building Production-Ready LLMs: A Practical Guide to Developing, Optimizing, and Deploying Reliable LLMs with Prompting, Fine-Tuning, and RAG covers everything you need to know about taking LLMs from research to production. You’ll explore foundational architectures like transformers and delve into advanced topics such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques. The book also covers security, ethical considerations, and how to scale LLMs for enterprise-level applications.

What’s Inside:

Core architectures of LLMs, including GPT, BERT, and T5Distributed training techniques with multi-GPU and TPU setupsAdvanced fine-tuning methods for task-specific optimizationStrategies for integrating LLMs into business workflowsPractical solutions for debugging, handling edge cases, and ensuring data privacyDetailed case studies from industries like healthcare, finance, and educationHands-on code samples and exercises to reinforce learning

About the Reader:

This book is for AI engineers, data scientists, researchers, and developers looking to take LLMs beyond experimentation into production. Whether you’re a seasoned AI practitioner or a curious learner, this book will provide you with the practical knowledge required to design, optimize, and deploy LLMs in real-world environments.

Time is of the essence when it comes to leveraging LLMs in production environments. This book equips you with practical strategies that save time and resources, allowing you to focus on scaling models effectively without spending months on trial and error.

If you’re ready to go beyond theoretical understanding and develop LLMs that make a real-world impact, this book is your essential guide. Start building production-ready LLMs today—transform your AI projects and unlock the full potential of large language models in business, research, and beyond.

ASIN ‏ : ‎ B0DKFT1784
Language ‏ : ‎ English
File size ‏ : ‎ 811 KB
Simultaneous device usage ‏ : ‎ Unlimited
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 334 pages