Glossary
A plain-English glossary of the methods and ideas behind modern AI. Search, sort, or jump to a letter.
5 terms
| Definition | ||
|---|---|---|
| Few-Shot Learning | Performing a task from just a handful of examples. | May 21, 2026 |
| Fine-tuning | Adapting a pretrained model to a specific task or domain with further training. | May 21, 2026 |
| FlashAttention | An exact, IO-aware attention algorithm that is much faster and uses less memory. | May 21, 2026 |
| FLOPs | Floating-point operations — the standard unit for measuring the compute used to train or run a model. | May 22, 2026 |
| Foundation Models | Large models pretrained broadly, then adapted to many tasks. | May 21, 2026 |