Large Language Model
A model trained on massive text to understand and generate natural language.
In plain language
LLMs learn language patterns by predicting the next token, with parameters ranging from billions to hundreds of billions. They can answer questions, write and code, but do not guarantee factual accuracy. Common products include GPT, Claude, Gemini, DeepSeek and Qwen.
Example
The model behind ChatGPT can draft emails, edit code and summarize documents.
Recommended tools
Related terms
Context Window
The maximum number of tokens a model can read and remember at once, including input and output.
Inference
The computation a trained model performs to produce output from an input.
Token
The smallest unit of text a model processes, often a word, subword or character group.
Agentic Workflow
Breaking a task into steps planned by AI, executed by tools and reviewed by humans.