Large Language Model

In detail

A large language model (LLM) is a type of foundation model trained on billions of tokens of text using a transformer architecture. During training the model learns statistical patterns across language, code, structured data and other text. At inference time it generates a continuation of any input prompt by predicting the most likely next token. Modern LLMs have emergent capabilities including instruction following, multi-step reasoning, code generation and structured output production that are not explicitly trained but arise from scale. Examples include Anthropic's Claude family, OpenAI's GPT series, Google's Gemini and Meta's Llama models.