Large Language Model
In plain terms
A massive neural network trained to understand and generate text.
Going deeper
LLMs are transformer-based models trained on vast text to predict tokens, enabling fluent generation, reasoning, and many language tasks. Scale gives them broad capability.
Under the hood
Emergent abilities appear with scale; limitations include hallucination, context limits, and training cutoffs.
Examples
GPT, Claude, Gemini, chatbots, code generation, text understanding.
Think of it like...
Like an extraordinarily well-read assistant who predicts the next words convincingly.