Large Language Model

A large language model (LLM) is a neural network trained to predict the next token in text at scale. The same core idea now powers chat, coding, summarization, and many agents.

Text is split into tokens. The model scores possible next tokens and samples from that distribution. Capabilities come from pretraining data, post-training (including preference methods), and the interface wrapped around the model.