LLMs

AI memory is not one thing. This guide separates context windows, retrieval (RAG), vector databases, and long-term memory in ChatGPT and Claude.

Model distillation trains a smaller model to imitate a larger model's outputs, often reducing cost and latency while preserving much of the behavior.

Open source AI vs proprietary AI compared: what licenses allow, how far the capability gap has narrowed, and when self-hosting actually beats a paid API.

Synthetic data can fill gaps, protect privacy, and teach rare cases, but it can also amplify errors. This guide explains where it works and where it fails.

Agentic AI is the next buzzword, but the useful concept is simple: models that plan, call tools, check results, and repeat toward a goal.

60 years of chatbot history: from ELIZA's pattern matching to ChatGPT's 100M users. How modern conversational AI works, and what's still broken.