How can I reduce latency in my AI API architecture?
To reduce latency, consider optimizing your API endpoints, using caching strategies, and minimizing data transfer.
What caching strategies would you recommend?
Implement in-memory caching with tools like Redis or Memcached to speed up data retrieval.
Are there any specific architectural patterns that help?
Yes, microservices architecture can help by allowing you to scale individual components independently.
What about using CDNs for AI models?
Using CDNs can significantly reduce latency by caching AI model responses closer to the user.
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