Engineering Large Language Models: From Fundamentals to Production-Ready Systems

Name: Engineering Large Language Models: From Fundamentals to Production-Ready Systems
Brand: Independently Published
SKU: 9798263929237
Price: 1567.0 INR
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by Henry Lucas

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ISBN13: 9798263929237
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: September 5, 2025
Pages: 134
Original Price: USD 14.99
Language: English
Edition: N/A
Item Weight: 200 grams
BISAC Subject(s): Artificial Intelligence / Natural Language Processing

About The Book

Engineering Large Language Models: From Fundamentals to Production-Ready Systems

Large Language Models are redefining the future of artificial intelligence, driving breakthroughs in natural language understanding, automation, and intelligent applications at scale. Yet, moving from basic concepts to robust, production-ready systems requires more than scattered resources-it demands a structured, comprehensive guide that bridges theory with practice. This book provides exactly that.

With a clear progression from foundational principles to advanced implementation, you will gain a complete understanding of how to design, train, optimize, and deploy large language models. Core architectures, data handling, fine-tuning strategies, scaling methods, and real-world deployment practices are explained with clarity and precision, ensuring that complex topics become accessible without oversimplification.

What makes this book unique is its focus on the full lifecycle of LLMs. It not only equips you with the technical depth to build and scale models effectively, but also emphasizes best practices for efficiency, cost optimization, and integration into real-world systems. Each chapter is designed to address practical challenges, giving you both the strategic insight and hands-on guidance required for success.

By the end of this book, you will be equipped to engineer large language models that are not just functional, but production-ready and capable of driving real impact. For machine learning engineers, researchers, and professionals aiming to stay ahead in the rapidly evolving AI landscape, this book serves as an essential resource-and the definitive guide you have been searching for.

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