Deep dives into the fundamentals.

Precise, no-hype explanations of the concepts behind modern AI — each one paired with the interactive instruments you can manipulate in the courses.

RAG vs Fine-Tuning: When to Use Which

The actual decision criteria between retrieval-augmented generation and fine-tuning: what each is good at, how each fails, when you need both, and when neither is warranted.

How Attention Works in Transformers

A precise, example-driven explanation of self-attention: queries, keys, values, scaled dot-product scores, softmax weighting, and multi-head attention — with an interactive explorer.