What fixes resolve model crashes in an AI-powered ticket support system during high query loads

Question

With the help of proper code example can you tell me What fixes resolve model crashes in an AI-powered ticket support system during high query loads?

Answer 1

You can resolve model crashes in an AI-powered ticket system by implementing load balancing, query rate limiting, caching, asynchronous processing, and resource scaling.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Asynchronous Processing: Uses threading to handle multiple queries without blocking.
• Query Queueing System: Prevents overload by managing queries sequentially.
• Rate Limiting: Adds delays to prevent excessive resource consumption.
• Auto-Scaling Threads: Supports multiple concurrent workers for high-load handling.
• Exception Handling: Prevents system crashes due to unexpected errors.

Hence, ensuring stability in an AI-powered ticket system under high query loads requires efficient query queuing, asynchronous execution, rate limiting, and resource scaling to prevent crashes and maintain responsiveness.