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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

Elevating prompts – iteration and influencing model behaviors

In this section, we will introduce techniques for enhancing AI model interactions inspired by cognitive-behavioral research. Behavioral prompting can guide models toward more accurate and nuanced responses. For example, LLM performance can be improved by providing the model with positive emotional stimuli, asking the model to assume a persona or character, or using situational prompting (i.e., role-play). However, it is crucial to recognize that these techniques can also be misused or used to inadvertently introduce stereotypes, as they rely on assumptions and generalizations that may not accurately reflect individual experiences or diverse perspectives. Without careful consideration and monitoring, there is a risk of reinforcing existing biases or creating new ones, potentially leading to skewed or harmful output. Given these challenges, we will explore a responsible approach to employing cognitive-behavioral techniques...

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