Term
Latency (ˈleɪ-tən-si)
Definition
Latency in AI refers to the time delay between when you send a prompt to the AI system and when you receive a response. It is important for determining how quickly the AI can interact and respond to user inputs.
Where you’ll find it
Latency is most noticeable in AI applications like chatbots, virtual assistants, and other real-time interaction systems. It is relevant across various AI platforms where timely responses are critical.
Common use cases
- In customer service chatbots, quick responses improve user satisfaction.
- During live interactions with AI virtual assistants, maintaining a flow in conversation is essential.
- In online gaming AIs, response time can affect gameplay and user experience.
Things to watch out for
- High latency can lead to a poor user experience as it causes delays in AI responses.
- It may vary depending on internet connection speed and server performance.
- Latency can also be influenced by the complexity of the AI model being used.
Related terms
- Response time
- Real-time processing
- Server performance
- Bandwidth
- Ping
Pixelhaze Tip: To reduce latency, consider optimizing your internet connection and choosing AI models that prioritize speed. Monitoring tools provided by the AI platform can also be useful to track and manage latency effectively.