What is Small Language Model (SLM)?

An inference acceleration method where a small draft model proposes tokens that a larger model verifies in parallel.

A language-agnostic tokenizer that learns subword units directly from raw text without pre-splitting on whitespace.

The broad field of building systems that perform tasks requiring pattern recognition, reasoning, language, or decision-making.

The maximum amount of input tokens a language model can process at once.

A neural architecture optimized for processing grid-like data such as images.

Learning or adapting behavior from only a small number of examples.