Learn to Build with AI — Guides for Developers

330 explanations across 15 topics. Browse by topic, then learn interactively.

Open the full interactive app →
AI, Explained for Developers — 20 explanations What Is an LLM, Really? — 21 explanations Calling an LLM API (it’s just a POST request) — 28 explanations Prompt Engineering for Builders — 25 explanations Embeddings & Semantic Search — 20 explanations RAG — Give the Model Your Own Data — 28 explanations Agents & Tool / Function Calling — 29 explanations Shipping AI Features to Production — 34 explanations Fine-tuning vs RAG vs Prompting — 15 explanations Beyond Text: Images, Vision & Voice — 14 explanations Classic ML in Plain English (the bits you should still know) — 14 explanations The AI Toolkit & Where Cloud Fits — 16 explanations Vectors, Embeddings & Similarity — 22 explanations Matrices & How a Layer Computes — 22 explanations Softmax & the Attention Formula, Demystified — 22 explanations