Glossary
Large Language Model (LLM)
A neural network trained on massive text corpora to predict next tokens.
Definition
A large language model is a neural network — almost always a transformer architecture — trained on internet-scale text to predict the next token in a sequence. Through that simple objective, LLMs acquire the ability to summarize, reason, translate, code, and converse.
Context
Leading enterprise LLMs in 2026 include Anthropic's Claude family, OpenAI's GPT family, Google's Gemini, and Meta's Llama open-weights line. Production deployments rarely use a single model — orchestration layers route different requests to different models based on cost, latency, and capability fit.
Related terms
Generative AIAI that creates new content — text, code, images, audio, video.Read Fine-TuningContinued training of a base model on task-specific data.Read Retrieval-Augmented Generation (RAG)Injecting retrieved documents into an LLM prompt to ground outputs.Read Tool UseAn LLM calling external functions to extend its capabilities.Read