A Large Language Model (LLM) is a type of artificial intelligence trained on massive amounts of text data to understand, generate, and reason about human language. LLMs use transformer architectures with billions of parameters, enabling them to perform tasks like writing, translation, coding, summarization, and question answering. Examples include GPT-4, Claude, Gemini, and Llama. LLMs work by predicting the next token in a sequence, learning statistical patterns across language during pre-training, then being fine-tuned for specific tasks or aligned with human preferences through techniques like RLHF.
Frequently Asked Questions
What is an LLM?
An LLM (Large Language Model) is an AI system trained on vast text datasets to understand and generate human-like text. They power tools like ChatGPT, Claude, and Gemini.
How do LLMs work?
LLMs predict the next word (token) in a sequence using transformer neural networks. They learn language patterns from billions of text examples during training.