Core Concepts
Master the fundamental ideas that power modern AI systems. Understand training data, model architectures, context windows, embeddings, and RAG—the building blocks that make AI work. Essential knowledge for anyone serious about AI.
What is RAG? A Beginner's Guide to Retrieval-Augmented Generation
BeginnerUnderstand RAG (Retrieval-Augmented Generation) in plain English. Learn how AI systems combine search with generation to give accurate, up-to-date answers.
AI Model Architectures: A High-Level Overview
IntermediateFrom transformers to CNNs to diffusion models—understand the different AI architectures and what they're good at.
Context Windows: How Much AI Can Remember
IntermediateContext windows determine how much text an AI can process at once. Learn how they work, their limits, and how to work within them.
Embeddings: Turning Words into Math
IntermediateEmbeddings convert text into numbers that capture meaning. Essential for search, recommendations, and RAG systems.
Multi-Modal AI: Beyond Text
IntermediateMulti-modal AI processes multiple types of data—text, images, audio, video. Learn how these systems work and their applications.
Natural Language Processing: How AI Understands Text
IntermediateNLP is how AI reads, understands, and generates human language. Learn the techniques behind chatbots, translation, and text analysis.
Training Data Quality: Garbage In, Garbage Out
IntermediateAI quality depends on training data quality. Learn what makes good training data, common issues, and how to evaluate it.