What is Latency (AI)?
The delay between sending a prompt and receiving the first response token.
Definition
Latency measures how quickly an AI responds, important for real-time applications. Factors include model size, server load, and network speed. Smaller models typically have lower latency.
Examples
Why It Matters
For conversational AI and real-time applications, latency matters as much as quality—nobody wants to wait 10 seconds per response.
Related Terms
Common Questions
What does Latency (AI) mean in simple terms?
The delay between sending a prompt and receiving the first response token.
Why is Latency (AI) important for AI users?
For conversational AI and real-time applications, latency matters as much as quality—nobody wants to wait 10 seconds per response.
How does Latency (AI) relate to AI chatbots like ChatGPT?
Latency (AI) is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: Time to first token Understanding this helps you use AI tools more effectively.
Related Use Cases
AI Models Using This Concept
See Latency (AI) in Action
Council lets you compare responses from multiple AI models side-by-side. Experience different approaches to the same prompt instantly.