Safe For Humans AI
Safe For Humans AI
A "humans-first" approach to designing and building AI systems.
About the Book
We take a dive into both general architectures for safe, human-first AI as well as concrete examples of building applications with LLMs with both prompt engineering and fine-tuning. While I favor using self-hosted LLMs for the technical book examples, most can also be used with OpenAI and Hugging Face APIs.
About the Author
Table of Contents
- Preface
- Running Software Examples
- Technology Stack for Development of the Book Examples
- Author’s Use of Large Language Models for Writing and Coding
- The “Big Project Example” in this Book
- About the Author
- Book Cover
- Acknowledgements
- Part I - Risks Using AI
- Road Map for Our Journey to Safe AI
- Your Requirements for Privacy and AI Safety vs. Making Maximum Business Use of LLMs
- A Prompt Template For Evaluating Safety vs. Opportunity Tradeoffs
- Risks
- Don’t Throw the Baby Out With the Bath Water
- Government Control of AI and International Norms
- Key Aspects of AI Safety
- Leaking Customer Data
- Inaccurate Results from LLMs
- Legal Exposure to the Use of Possibly Private Data Used to Train LLMs
- Protecting Your Business Processes from Competition
- AI Weapons
- Attempts to Mitigate Risks of AI Weapons
- What About the United Nations?
- Generative AI
- Midjourney
- Microsoft and GitHub Copilot
- ChatGPT and Microsoft Bing with ChatGPT
- Governance
- Transparency in a World Where Corporations and Governments Do Not Want Transparency
- Building Transparency Into AI Systems
- Part II - Using AI Safely: a Technical Approach
- Portability Library Supporting OpenAI, Hugging Face, and Self Hosted Models
- Examples Using LlmLib
- Using Local Large Language Models
- Available Public Large Language Models
- StabilityAI’s StableLM Using lil-parrot Library
- Google’s Flan-T5-XXL
- Running FastChat with Vicuna LLMs
- Building a Chat Application Using Text From My Books and Prompt Engineering
- Fine-Tuning LLMs Using Your Data
- Fine-Tuning vs. Prompt Engineering
- The Process of Fine-Tuning
- 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
- Advances in LLMs
- Small Devices and Edge Computing
- Personalized AIs
- New Kinds of Digital Devices
- A Thought Experiment on Building a Safe AI in Alignment With Positive Human Values
- A Design Based on Prompt Engineering
- Safe AI Thought Experiment Implementation
- Good Luck
- Appendix A - Using Google Colab
- Appendix B - Using GPU Servers on Lambda Labs
- Preface
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