Data
LLM (Large Language Model)
A large language model (LLM) is a neural network trained on broad text corpora that can generate, summarize, translate, classify, and reason about natural language. Modern frontier LLMs include Claude, GPT, Gemini, and open-weight families like Llama and Mistral.
Related terms
- Fine-Tuning — Fine-tuning is the process of training an existing AI model on additional task-specific data so its weights adapt to a narrower domain.
- RAG (Retrieval-Augmented Generation) — RAG is a pattern in which an AI model retrieves relevant documents from a knowledge base at query time and uses them as additional context to generate its response.