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Generative AI Foundations in Python

You're reading from   Generative AI Foundations in Python Discover key techniques and navigate modern challenges in LLMs

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835460825
Length 190 pages
Edition 1st Edition
Languages
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Author (1):
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Carlos Rodriguez Carlos Rodriguez
Author Profile Icon Carlos Rodriguez
Carlos Rodriguez
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Table of Contents (13) Chapters Close

Preface 1. Part 1: Foundations of Generative AI and the Evolution of Large Language Models FREE CHAPTER
2. Chapter 1: Understanding Generative AI: An Introduction 3. Chapter 2: Surveying GenAI Types and Modes: An Overview of GANs, Diffusers, and Transformers 4. Chapter 3: Tracing the Foundations of Natural Language Processing and the Impact of the Transformer 5. Chapter 4: Applying Pretrained Generative Models: From Prototype to Production 6. Part 2: Practical Applications of Generative AI
7. Chapter 5: Fine-Tuning Generative Models for Specific Tasks 8. Chapter 6: Understanding Domain Adaptation for Large Language Models 9. Chapter 7: Mastering the Fundamentals of Prompt Engineering 10. Chapter 8: Addressing Ethical Considerations and Charting a Path Toward Trustworthy Generative AI 11. Index 12. Other Books You May Enjoy

Understanding Generative AI: An Introduction

In his influential book The Singularity Is Near (2005), renowned inventor and futurist Ray Kurzweil asserted that we were on the precipice of an exponential acceleration in technological advancements. He envisioned a future where technological innovation would continue to accelerate, eventually leading to a singularity—a point where artificial intelligence (AI) could transcend human intelligence, blurring the lines between humans and machines. Fast-forward to today and we find ourselves advancing along the trajectory Kurzweil outlined, with generative AI marking a significant stride along this path. Today, we are experiencing state-of-the-art generative models can behave as collaborators capable of synthetic understanding and generating sophisticated responses that mirror human intelligence.. The rapid and exponential growth of generative approaches is propelling Kurzweil’s vision forward, fundamentally reshaping how we interact...

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