What are the best practices for threading in AI applications?

What are the best practices for threading in AI applications?

Best practices for threading in AI include using thread pools, avoiding shared state, and ensuring thread safety.

Can you explain why avoiding shared state is important?

Avoiding shared state helps prevent race conditions and makes your code easier to understand and maintain.

What is a thread pool and how does it work?

A thread pool is a collection of pre-initialized threads that can be reused for executing tasks, improving performance.

Are there any specific libraries you recommend for managing threads in AI?

Yes, libraries like Python's concurrent.futures and Java's ExecutorService are great for managing threads efficiently.