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
- Part I - Risks Using AI
- Road Map for Our Journey to Safe AI
- Risks
- AI Weapons
- Generative AI
- Governance
- Transparency in a World Where Corporations and Governments Do Not Want Transparency
- Part II - Using AI Safely: a Technical Approach
- Portability Library Supporting OpenAI, Hugging Face, and Self Hosted Models
- Using Local Large Language Models
- Fine-Tuning LLMs Using Your Data
- 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
- A Thought Experiment on Building a Safe AI in Alignment With Positive Human Values
- Good Luck
- Appendix A - Using Google Colab
- Appendix B - Using GPU Servers on Lambda Labs
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