Inference

Demo note. This note demonstrates what the SciDraft Hugo theme can do for academic and scientific publishing — for research institutions, researchers and students. Its content is demonstration material only: readers should ignore whether the demo content is correct. A language model writes one token at a time. The prompt is processed once, then each new token is appended to the sequence and fed back in, so generation is a loop between the model and the sampler rather than a single call. The sequence diagram below shows the participants and the messages between them. ...

Demo note. This note demonstrates what the SciDraft Hugo theme can do for academic and scientific publishing — for research institutions, researchers and students. Its content is demonstration material only: readers should ignore whether the demo content is correct. The same generation loop can be described without messages, as a machine with a small number of states. This view is useful when the interesting questions are about transitions — when decoding starts, what keeps it running, and which conditions end it. The state diagram below is the whole lifecycle of one completion. ...