Large Language Model (LLM)
A Large Language Model (LLM) is an AI model trained on massive amounts of text that can understand and generate human-like language, such as GPT, Claude, or Gemini.
How Large Language Model works
LLMs are trained on huge volumes of text (books, articles, code, websites) to learn the statistical patterns of language. This lets them write emails, summarize documents, answer questions, and hold conversations that read as natural, human language.
Why it matters for your business
LLMs are the engine behind most of today's practical AI tools — customer support chatbots, content drafting assistants, and internal knowledge-base search. Knowing that "the model doesn't know your business" by default is critical: you need to explicitly feed it your context (see Retrieval-Augmented Generation) for it to be useful beyond generic tasks.
Frequently Asked Questions
Is ChatGPT an LLM?
ChatGPT is a product built on top of an LLM (GPT). The LLM is the underlying model; the chat interface is the application layer around it.
Can an LLM know about my company's private data?
Not by default — it only knows what it was trained on. To answer questions about your own documents, businesses connect an LLM to their data using techniques like Retrieval-Augmented Generation (RAG).