GeezerVison

Preface

1. Running Software Examples
2. Technology Stack for Development of the Book Examples
3. Author’s Use of Large Language Models for Writing and Coding
4. The “Big Project Example” in this Book
5. About the Author
6. Book Cover
7. Acknowledgements

Part I - Risks Using AI

Road Map for Our Journey to Safe AI

1. Your Requirements for Privacy and AI Safety vs. Making Maximum Business Use of LLMs
2. A Prompt Template For Evaluating Safety vs. Opportunity Tradeoffs

Risks

1. Don’t Throw the Baby Out With the Bath Water
2. Government Control of AI and International Norms
3. Key Aspects of AI Safety
4. Leaking Customer Data
5. Inaccurate Results from LLMs
6. Legal Exposure to the Use of Possibly Private Data Used to Train LLMs
7. Protecting Your Business Processes from Competition

AI Weapons

1. Attempts to Mitigate Risks of AI Weapons
2. What About the United Nations?

Generative AI

1. Midjourney
2. Microsoft and GitHub Copilot
3. ChatGPT and Microsoft Bing with ChatGPT

Governance

Transparency in a World Where Corporations and Governments Do Not Want Transparency

1. Building Transparency Into AI Systems

Part II - Using AI Safely: a Technical Approach

Portability Library Supporting OpenAI, Hugging Face, and Self Hosted Models

1. Examples Using LlmLib

Using Local Large Language Models

1. Available Public Large Language Models
2. StabilityAI’s StableLM Using lil-parrot Library
3. Google’s Flan-T5-XXL
4. Running FastChat with Vicuna LLMs
5. Building a Chat Application Using Text From My Books and Prompt Engineering

Fine-Tuning LLMs Using Your Data

1. Fine-Tuning vs. Prompt Engineering
2. The Process of Fine-Tuning
3. Building a Chat Application Using Text From My Books and Fine-Tuning

Part III - What Does the Future Hold?

AI-Safety Respecting Architectures for Use in Education

AI-Safety Respecting Architectures for Use in Small and Medium Size Businesses

Trying to Predict the Future

1. Advances in LLMs
2. Small Devices and Edge Computing
3. Personalized AIs
4. New Kinds of Digital Devices

A Thought Experiment on Building a Safe AI in Alignment With Positive Human Values

1. A Design Based on Prompt Engineering
2. Safe AI Thought Experiment Implementation

Good Luck

Appendix A - Using Google Colab

Appendix B - Using GPU Servers on Lambda Labs