Latency

The time delay between making a request to an AI system and receiving a response

Overview

Latency refers to how long it takes to get a response after making a request to an AI system. This delay affects how quickly users receive results and is crucial for applications that need rapid responses, like real-time chat or voice assistants.

Key Factors

Latency is influenced by:

  • Network connection speed
  • Computing power available
  • Model size and complexity
  • System design choices
  • Server location
  • Processing requirements

Performance Impact

Latency affects:

  • Response time perception
  • Interactive capabilities
  • Real-time applications
  • System usability
  • User satisfaction

System Operations

Managing latency involves:

  • Monitoring response times
  • Optimizing resource use
  • Balancing speed and quality
  • Maintaining reliability
  • Meeting performance goals

Common Solutions

Latency can be improved through:

  • Local model deployment
  • Resource optimization
  • Efficient model design
  • Strategic server placement
  • Performance monitoring