A large language model (LLM) is a neural network trained on a vast amount of text from the internet, books, and other sources, which has learned the statistical patterns of language so well that it can understand and generate natural language at a human-level. LLMs are the foundation of tools such as ChatGPT, Claude, and Gemini, and are used for tasks ranging from writing and translation to summarization, programming, and analytical reasoning. Model size is typically expressed in terms of the number of parameters, but the quality of the output also depends on the architecture, training data, and fine-tuning methods.