Considering the vastness that web applications can grow to and the strong dependence of nearly every other platform on a backend that runs as a web-based service, it is important for the backend to be well thought of and properly executed. AI-based applications, even in a PoC stage, are often not blazingly fast in responding or take a lot of time to train on the new samples.
While we will be discussing tips and tricks to make a backend that does not choke under pressure due to bottlenecks, we need to lay down a few pointers that need to be avoided in the best possible way when developing an AI-integrated backend for a website.
