OpenAI Fundamentals

Introduction to AI

• What is AI?
• Current State of AI
• Types of AI
  • Generative AI
• What is Responsible and trusted AI?
• Popular AI Tools
• Large language models
• Artificial Intelligence: An Overview
• History of AI
• AI Today
• AI Research Areas
• AI and National Strategies
• Ethics of Artificial Intelligence
• What is AI? Applications and Examples of AI
• AI Concepts, Terminology, and Application Areas
• Artificial Intelligence and legal issues
• Technologies and platforms for Artificial Intelligence
• Machine Learning: an overview

Introduction to OpenAI

• What is OpenAI?
• Start with an Instruction
• Add Examples
• Adjust Settings
• Build Application
• Libraries
• Models
• Usage Policies

Text Completion

• Introduction
• Prompt Design
• Inserting Text
• Editing Text

Code Completion

• Introduction
• Best Practices
• Inserting Code
• Editing Code

Image Generation

• Usage
• Language-Specific Tips

Fine-Tuning OpenAI Model

• Preparing Dataset
• Advanced Usage
• Weights and Biases

Embeddings Open AI

• What are Embeddings?
• How to Get Embeddings?
• Embedding Models
• Use Cases

Limitations and Risks

Open AI API Moderation

• Overview
• Quickstart

API Rate Limits

• What are Rate Limits?
• Why Do We Have Rate Limits?
• Rate Limits of Our API
• How do Rate Limits Work?
• Rate Limit Errors
• Error Mitigation
• Request Increase

Safety Best Practices

• Use Moderation API
• Adversarial Testing
• Human in the Loop (HITL)
• Prompt Engineering
• Know Your Customer (KYC)
• Constrain User Input and Limit Output Tokens
• Allow Users to Report Issues
• Understand and Communicate Limitations
• End-User IDs

Production Best Practices

• Setting Up Your Organization
• Building Your Prototype
• Evaluation and Iteration
• Scaling Your Solution
• Managing Rate Limits
• Improving Latencies
• Managing Costs
• MLOps Strategy
• Security and Compliance