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Generative AI Foundations in Python
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Generative AI Foundations in Python
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Overview of this book
The intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application.
Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs.
By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.
Table of Contents (13 chapters)
Preface
Free Chapter
Part 1: Foundations of Generative AI and the Evolution of Large Language Models
Chapter 1: Understanding Generative AI: An Introduction
Chapter 2: Surveying GenAI Types and Modes: An Overview of GANs, Diffusers, and Transformers
Chapter 3: Tracing the Foundations of Natural Language Processing and the Impact of the Transformer
Chapter 4: Applying Pretrained Generative Models: From Prototype to Production
Part 2: Practical Applications of Generative AI
Chapter 5: Fine-Tuning Generative Models for Specific Tasks
Chapter 6: Understanding Domain Adaptation for Large Language Models
Chapter 7: Mastering the Fundamentals of Prompt Engineering
Chapter 8: Addressing Ethical Considerations and Charting a Path Toward Trustworthy Generative AI
Index
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