What is Inference (AI)?
The process of an AI model generating outputs from inputs (vs. training).
Definition
Inference is when a trained AI model processes new inputs and generates outputs. It's what happens when you send a message to ChatGPT and get a response. Inference costs (per token) are what you typically pay for when using AI APIs.
Examples
Why It Matters
Inference speed and cost determine how practical AI is for different applications.
Related Terms
Common Questions
What does Inference (AI) mean in simple terms?
The process of an AI model generating outputs from inputs (vs. training).
Why is Inference (AI) important for AI users?
Inference speed and cost determine how practical AI is for different applications.
How does Inference (AI) relate to AI chatbots like ChatGPT?
Inference (AI) is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: Sending a prompt to GPT-4 Understanding this helps you use AI tools more effectively.
Related Use Cases
AI Models Using This Concept
See Inference (AI) in Action
Council lets you compare responses from multiple AI models side-by-side. Experience different approaches to the same prompt instantly.