Large Language Model
A type of AI model trained on massive text datasets capable of understanding and generating human language.
Also: Large Language Model
Definition
A Large Language Model (LLM) is a type of deep learning model trained on enormous amounts of text data (billions to trillions of tokens) to learn statistical patterns in language. LLMs use transformer architecture and can perform a wide range of language tasks — text generation, summarization, translation, coding, question answering, and reasoning — without task-specific training. Notable LLMs include GPT-4, Claude, Gemini, and LLaMA. LLMs are the foundation of modern AI assistants and chatbots.
Example
“An LLM can be given a legal contract and asked to summarize key clauses, identify risks, and draft amendments — without any legal-specific fine-tuning.”
Synonyms
- large AI model
- language model
- foundation model
- generative AI model
Antonyms / Opposites
- small model
- task-specific model
- rule-based chatbot
Images
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Related Terms
- transformer
- nlp
- deep-learning
- fine-tuning