#rag

Glossary

Fine-tuning — a scalpel, not a universal hammer

Fine-tuning changes model weights. It is powerful when you have data, evals and a clear reason. It is an expensive mistake when it hides a bad prompt, missing RAG or an unclear process.

Glossary

Golden Dataset — ground truth for an AI system, not a golden cage

A Golden Dataset is a small, carefully reviewed set of real cases used to tell whether an AI system actually works. In Skillmea AI we use it to evaluate course recommendations against lesson evidence, not marketing blurbs.

Glossary

Context window — how much hell fits in a prompt

A context window is how many tokens a model can see at once. A bigger window is not memory, truth or a guarantee of better answers. It is a larger, pricier workbench.

Glossary

RAG — Retrieval-Augmented Generation

When the model doesn't have your data in its head, it fetches it from a vector store or full-text search. RAG is a pattern, not a product.