📌 AI Fundamentals

🎯 Goal:

Understand core AI concepts to make informed product and engineering decisions.

1️⃣ Core AI Concepts

• What is AI? (Traditional vs. Modern AI) - Google AI
• Types of AI (Narrow AI, General AI, Super AI) - IBM
• LLMs & How They Work (Transformers, Tokenization) - Jay Alammar
• Supervised, Unsupervised, Reinforcement Learning - DeepLearning.AI

2️⃣ AI Ethics & Responsible AI

• Bias in AI & Fairness - Microsoft Responsible AI
• AI Hallucinations & Risk Mitigation - OpenAI Research
• AI Regulations (GDPR, AI Act, CCPA) - EU AI Act
• Explainability & Interpretability - DARPA XAI

🎯 Hands-on Tasks

• Deploy a local AI model (Ollama, Mistral)
• Experiment with OpenAI’s API for Prompt Engineering
• Compare different LLM models (GPT, Claude, Mistral)