What is Large Language Model (LLM)?
An AI system trained on vast text data to understand and generate human-like text.
Definition
A Large Language Model (LLM) is a type of artificial intelligence trained on massive datasets of text to understand context, answer questions, write content, and perform various language tasks. Models like GPT-4, Claude, and Gemini are examples of LLMs. They use transformer architecture and can contain billions of parameters.
Examples
Why It Matters
LLMs power most modern AI assistants. Understanding how they work helps you use them more effectively.
Related Terms
Transformer (Architecture)
The neural network architecture behind modern AI like GPT and Claude.
Token (AI)
A chunk of text (roughly 4 characters or 3/4 of a word) that AI models process.
Fine-Tuning
Training an AI model on specific data to specialize it for particular tasks.
Prompt Engineering
The practice of crafting effective instructions to get better results from AI models.
Common Questions
What does Large Language Model (LLM) mean in simple terms?
An AI system trained on vast text data to understand and generate human-like text.
Why is Large Language Model (LLM) important for AI users?
LLMs power most modern AI assistants. Understanding how they work helps you use them more effectively.
How does Large Language Model (LLM) relate to AI chatbots like ChatGPT?
Large Language Model (LLM) is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: ChatGPT (GPT-4) Understanding this helps you use AI tools more effectively.
Related Use Cases
AI Models Using This Concept
See Large Language Model (LLM) in Action
Council lets you compare responses from multiple AI models side-by-side. Experience different approaches to the same prompt instantly.