Large Language Model
A large language model (LLM) is an AI model trained on very large amounts of text to understand and generate human-like language. Most LLMs use the transformer architecture and learn by predicting the next word, which gives them the ability to answer questions, summarize, translate, and write.
During training, an LLM processes huge volumes of text and adjusts billions of internal parameters to get better at predicting what comes next. That process teaches it grammar, facts, and patterns of reasoning. It is often then fine-tuned to follow instructions and respond helpfully in conversation.
In manufacturing, an LLM can answer an operator's question about a fault code by drawing on equipment manuals, or turn a week of inspection results into a plain-language summary for a plant manager. Connecting it to company documents through retrieval-augmented generation keeps answers grounded.
An LLM is one kind of generative AI focused on language. Generative AI also includes models that create images, audio, or video. An LLM is also different from a chatbot: the chatbot is the application, and the LLM is the model that may power it.