Core
Large Language Model (LLM)
A neural network with billions of parameters trained on massive text corpora to understand and generate human language. Examples include GPT-4, Claude, and Gemini.
Explained at five levels
Level 1
A super-smart computer that has read almost every book and website, so it can talk and write like a person.
Level 2
A really big AI trained on tons of text from the internet that can write essays, answer questions, and have conversations.
Level 3
A neural network with billions of parameters trained on massive text corpora to understand and generate human language. Examples include GPT-4, Claude, and Gemini.
Level 4
A transformer-based model trained on web-scale text data using self-supervised learning, capable of in-context learning, instruction following, and multi-step reasoning across diverse language tasks.
Level 5
An autoregressive or masked language model leveraging the transformer architecture at scale (10⁹–10¹² parameters), exhibiting emergent capabilities like chain-of-thought reasoning, tool use, and cross-domain transfer as a function of compute and data scaling laws.
Definitions are educational summaries. Terminology can vary by source and context.
Sources
- NIST Trustworthy and Responsible AI Resource Center: Glossary — National Institute of Standards and Technology. Accessed 2026-07-20.