Large Language Model
Also called: LLM
A model trained on large volumes of text to predict likely continuations, producing fluent language across a wide range of tasks.
A large language model is trained to predict what text comes next given preceding text. Trained at sufficient scale, that single objective produces systems that summarize, answer questions, draft documents, and follow instructions.
In medicine, LLMs sit behind ambient documentation, chart summarization, inbox message drafting, and clinical reference tools. Almost none of these are regulated as devices, because a clinician reviews the output before it affects care.
Where This Gets Misread
Fluency and accuracy are produced by the same mechanism, which means the model has no internal signal distinguishing a correct statement from a fabricated one. Confidence in the output tells you nothing about its truth, and in clinical text the errors are frequently the plausible ones.