What is async request batching in AI?
An example of an AI chatbot conversation about async request batching in AI systems.
What is async request batching in AI?
Async request batching is a technique where multiple requests are grouped together and processed simultaneously, improving efficiency.
How does it improve performance compared to regular requests?
It reduces the overhead of handling each request individually, allowing for better resource utilization and faster response times.
Can you give me an example of where this is used?
Sure! It's commonly used in APIs where multiple data fetches are needed, like retrieving user data from a database.
Are there any downsides to using async request batching?
Yes, it can introduce complexity in error handling and may lead to increased latency if not managed properly.
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