What are some examples of latency in AI systems?

What are some examples of latency in AI systems?

Latency in AI systems can occur during data processing, model inference, and response generation. For instance, when a user inputs a query, the time taken for the AI to process that input and generate a response is considered latency.

Can you give me a specific example?

Sure! In real-time language translation apps, latency can be noticeable when translating spoken language. The time taken from when a user speaks to when they receive the translated output can vary based on network speed and processing power.

What factors contribute to this latency?

Factors include network bandwidth, server response time, the complexity of the AI model, and the amount of data being processed. Each of these can add to the overall delay.

How can developers reduce latency in AI applications?

Developers can optimize models for speed, use edge computing to process data closer to the user, and improve network infrastructure to reduce latency.