Welcome to this website which includes Dr. Sampson’s Ai for Business textbook. This ebook includes Dr. Sampson’s “Ai Tutor” that will answer questions about course topics and check your mastery of concepts if requested. There is also an “Ai Tutor Helper” to help you ask useful questions of the Ai Tutor. In each chapter you can click on any bold term and the Ai Tutor Helper will formulate a prompt for an explanation, definition, quiz question, or general assessment. Watch this video for an overview.
Chapters
Chapter 0: “About this book” will show you the Ai Tutor and review the book’s organization…
PART 1 – Fundamentals of Ai systems
Chapter 1: Essential background of Ai
Chapter 2: Deep learning and how it works
Chapter 3: Useful types of Ai systems
– Chapter 3 supplement: Prompt caching
PART 2 – Selecting an appropriate Ai system
Chapter 4: Proprietary versus open source models
Chapter 5: LLMs in various sizes
– Chapter 5 supplement: Huge context windows?
Chapter 6: Assessing model performance
PART 3 – Ai system deployment
Chapter 7: Hosting Ai Systems – where the pieces run
Chapter 8: Ai Tool Development
– Chapter 8 supplement: Tool development frameworks
Chapter 9: Prompt Engineering
Chapter 10: Multimodal Ai models
PART 4 – Responsible Ai
Chapter 11: Ai Safety and Security
Chapter 12: Legal issues of Ai
Chapter 13: Ethical issues of Ai
Chapter 14: Societal Impacts of Ai
Accessing the materials
These materials are for Dr. Sampson Ai for Business courses. Others who are interested in accessing the materials can contact Dr. Sampson to inquire.