LLMs are based on the transformer architecture and predict the next token using probabilities. By training on billions of text examples, they acquire broad knowledge of language, facts, and tasks. They can write, translate, summarize, generate code, and answer questions. Well-known LLMs include OpenAI's GPT, Anthropic's Claude, and Google's Gemini.
