Large Language Model (LLM)
An AI model trained on vast amounts of text that can generate and understand human language, such as GPT-style models.
A large language model (LLM) is a type of AI system trained on enormous amounts of text data that learns statistical patterns in language well enough to generate human-like text, answer questions, summarize documents, and hold conversations. Models like GPT and Claude are examples of LLMs that power many of today's AI chatbots and writing tools.
LLMs work by predicting the most statistically likely next word (or token) given everything that came before, repeated many times to build up full sentences and paragraphs, they don't "understand" in the way a human does, and don't have access to real-time facts unless specifically connected to external tools. This is part of why LLMs can sometimes "hallucinate" confidently incorrect information, and why their outputs benefit from human review, especially for anything factual or high-stakes.