context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
attention — The mechanism that lets a model weigh which earlier words matter for the word it's currently processing — the core operation of a transformer.
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
Why it matters
llama.cpp 0.4.0 adds initial Qwen3.8-Flash-Next and Nemotron-3-Puzzle-75B-A9B support, on-demand tensor reading, and per-slot server context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → limits, letting local-inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.Full definition → users run newer models and control memory more precisely.