Large Language Model (LLM)

AI models trained on vast amounts of text data to understand and generate human-like language, powering assistants like ChatGPT, Claude, and Gemini. These models contain billions of parameters (like neural connections) that help them predict and generate text by understanding patterns, context, and relationships between words. Think of an LLM as having read virtually every book, article, and webpage on the internet, then using that knowledge to have conversations, write code, or answer questions. Unlike a search engine that finds existing content, LLMs generate new responses by combining their learned patterns in creative ways, making each response unique and contextually appropriate.