Rodriguez C. Generative AI Foundations in Python. Discover key techniques...2024.pdf

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Generative AI Foundations
in Python
Discover key techniques and navigate modern challenges
in LLMs
Carlos Rodriguez
Generative AI Foundations in Python
Copyright © 2024 Packt Publishing
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First published: July 2024
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Published by Packt Publishing Ltd.
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ISBN 978-1-83546-082-5
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To the memory of my late friend, Austin Tribble, for exemplifying resilience and determination. To my
wife, Jill Rodriguez, whose brilliance and intellectual curiosity have inspired me every day since the
day we met.
– Carlos Rodriguez
Foreword
Large Language Models
(LLMs) are poised to transform the way we interact with technology, offering
unprecedented capabilities in understanding and generating human language. They have become essential
tools in numerous applications, from chatbots and virtual assistants to content creation and translation
services. For a subject that is extremely dynamic and complex, Carlos has managed to distill years of
expertise into a work that is both accessible and comprehensive. This book not only demystifies the
complexities of LLMs but also provides a comprehensive guide for practitioners and enthusiasts alike.
So, it is with great pride and excitement that I pen this foreword for my good friend and esteemed
colleague, Carlos Rodriguez, whose work on LLMs delves into the intricacies of model architecture,
training methodologies, and practical implementations, all while maintaining a clarity that ensures readers,
regardless of their background, can grasp the fundamental principles and potential applications of LLMs.
Our journey together began only two short years ago; however, we found ourselves to be kindred
spirits in the ever-evolving world of AI. From the outset, I was struck by Carlos’ insatiable curiosity
and unyielding dedication to the field of AI. Over numerous discussions and collaborative projects,
I have witnessed firsthand the depth of his knowledge, the rigor of his research, and the passion that
fuels his relentless pursuit of innovation. What sets
Generative AI Foundations in Python
apart is
Carlos’ unique ability to blend technical depth with practical insights. Each chapter is a testament to his
meticulous approach and his commitment to bridging the gap between theoretical concepts and real-
world solutions. Interweaving real-world examples, code snippets, and practical considerations ensures
that seasoned professionals or newcomers to the field will find this book to be an invaluable resource.
In closing, I invite you to embark on this journey with an open mind and a passion for learning.
The landscape of LLMs is vast; there is no better guide than the one you hold in your hands.
May this book inspire, educate, and ignite a passion for learning and discovery in every reader.
Enjoy the journey.
– Samira Shaikh, PhD.
VP of Data Science, Artificial Intelligence, and Advanced Analytics, Popular Bank Associate Professor
of Computer Science, UNC Charlotte

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