Introduction to Generative AI Concepts

Course Overview

Understanding Generative AI

• What is Intelligence?
• Mechanisms of Intelligence
• What is Artificial Intelligence?
• How does AI work?
• What can AI do?
• What is Generative AI?
• How does a Large Language Model work?
• Tokenization
• Example Tokenization: GPT-4o
• Embeddings
• Predicting the Next Token
• LLM Settings
• How are LLMs trained?
• How do multi-modal models work?
• Generative AI architecture
• Benefits and Challenges of Generative AI
• Common Frameworks and Models
• Common Terms in Generative AI
• Reflection

Basics of Prompt Engineering

• Basics of Prompting
• What is Prompt Engineering?
• Why It’s Both Art and Science
• Communicating with Large Language Models
• Prompt Engineering and LLM Limitations
• Importance of Effective Prompting
• Instructions and Questions
• Personas and Conditional Prompts
• Key Principles of Effective Prompts
• Principles of Effective Prompt Design
• Anatomy of an Effective Prompt
• Methodological Instructions
• Personas and Constraints
• Use Examples for Effective Outputs
• Asking for Reflection (Inner Monologue)
• Layering Prompts
• Adapting to Intended Audience
• Emphasizing Specific Details
• Putting it Together: Translation and Data Analysis
• Example: Technical Support Response
• Common NLP Tasks
• Summarization and Classification
• Named Entity Recognition (NER)
• Summary: Effective Prompting Strategies
• Case Study: Customer Support Chatbot
• Balancing Detail with Conciseness
• Key Takeaways: Prompt Engineering
• Resources for Mastering Prompt Engineering

Real-world Use Cases and Ethics of AI/ML

• Where will AI be used?
• Personalized Learning and Fraud Detection
• Medical Diagnosis and Customer Service
• Predictive Maintenance and Autonomous Vehicles
• Crop Monitoring, Climate Modeling, and More
• Ethics Introduction and Progression
• The Point of AI Ethics
• NIST AI Risk Management Framework
• NIST AI RMF Characteristics of Trust
• NIST Generative AI Risks
• Blueprint for an AI Bill of Rights
• European Union AI Risk Categories
• Reflection on AI Ethics

Prerequisites

Familiarity using Generative AI
All attendees must have a modern web browser and an Internet connection.