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AI modules for changemakers
Self-paced modules covering basic concepts about AI
1. Foundations of AI
1.1 What is Artificial Intelligence
1.2 The Three Waves of AI
1.3 Data Science, ML and AI
1.4 Narrow, Generative and General AI
1.5 AI We Are Already Accustomed To
2. Language & Vision Models
2.1 What is an LLM
2.2 What is a VLM
2.3 What is a Multimodal Model
2.4 What is a Reasoning Model
2.5 Foundation Model vs Fine-tuned Model
2.6 Tokens and Context Window
2.7 What is Generative AI
2.8 Neural Networks in Plain Language
3. Evaluating AI Tools
3.1 How Central is AI to This Tool
4. Trust & Responsible Use
4.1 Hallucination
4.2 Bias in AI
4.3 The Four-Step Trust Workflow
4.4 Training Cutoff
4.5 AI as Prediction, Not Understanding
5. Building with AI
5.1 Prompts and Prompt Engineering
5.2 What is RAG
5.3 What is an AI Agent
5.4 Automation vs Agents
5.5 What is an API
6. Safety, Ethics & Privacy
6.1 Human in the Loop
6.2 AI Safety and Alignment
6.3 Data Privacy Basics
