What are the best practices for optimizing AI API latency?
To optimize AI API latency, consider techniques like caching, load balancing, and minimizing payload size.
Can you explain how caching helps with latency?
Caching stores frequently accessed data in memory, reducing the need to fetch it from the database, which speeds up response times.
What about load balancing? How does that work?
Load balancing distributes incoming API requests across multiple servers, preventing any single server from becoming a bottleneck.
Are there any tools you recommend for monitoring API performance?
Yes, tools like New Relic, Datadog, and Postman can help monitor API performance and identify latency issues.
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