What is LLM (Large Language Model)?
A type of AI trained on massive text datasets to understand and generate human language.
Definition
A Large Language Model (LLM) is an AI system trained on billions of text documents to predict and generate human-like text. LLMs like GPT-4, Claude, and Gemini use transformer architecture to understand context, follow instructions, and produce coherent responses across a wide range of tasks including writing, coding, analysis, and conversation.
💡 Example
When you ask ChatGPT to write an email or Claude to analyze a document, you are using an LLM. The model processes your input tokens and generates a response based on patterns learned during training.
Related concepts
OpenAI's family of language models that power ChatGPT.
The basic unit of text that AI models process — roughly 4 characters or 0.75 words.
Training a pre-trained AI model on specialized data to improve performance on specific tasks.
The neural network architecture that powers modern AI language models.
Explore AI tools
Find tools that use llm (large language model) in practice.
What is LLM (Large Language Model)?
A Large Language Model (LLM) is an AI system trained on billions of text documents to predict and generate human-like text. LLMs like GPT-4, Claude, and Gemini use transformer architecture to understand context, follow instructions, and produce coherent responses across a wide range of tasks including writing, coding, analysis, and conversation.
How does LLM (Large Language Model) work in practice?
When you ask ChatGPT to write an email or Claude to analyze a document, you are using an LLM. The model processes your input tokens and generates a response based on patterns learned during training.