Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Generative AI Foundations in Python

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

Arrow left icon
Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835460825
Length 190 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Carlos Rodriguez Carlos Rodriguez
Author Profile Icon Carlos Rodriguez
Carlos Rodriguez
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Part 1: Foundations of Generative AI and the Evolution of Large Language Models
2. Chapter 1: Understanding Generative AI: An Introduction FREE CHAPTER 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

Generative AI

In recent decades, AI has made incredible strides. The origins of the field stem from classical statistical models meticulously designed to help us analyze and make sense of data. As we developed more robust computational methods to process and store data, the field shifted—intersecting computer science and statistics and giving us ML. ML systems could learn complex relationships and surface latent insights from vast amounts of data, transforming our approach to statistical modeling.

This shift laid the groundwork for the rise of deep learning, a substantial step forward that introduced multi-layered neural networks (i.e., a system of interconnected functions) to model complex patterns. Deep learning enabled powerful discriminative models that became pivotal for advancements in diverse fields of research, including image recognition, voice recognition, and natural language processing.

However, the journey continues with the emergence of generative AI. Generative...

You have been reading a chapter from
Generative AI Foundations in Python
Published in: Jul 2024
Publisher: Packt
ISBN-13: 9781835460825
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image