Author: Vahdet Karataş

Not every model needs a real-time endpoint. Here is how to choose between online inference and scheduled batch scoring without overbuilding.

“Chat with your docs” demos are easy; trustworthy answers are not. Here is what actually breaks, and what to enforce so replies stay tied to sources.

If training and production scoring use different column logic, the model’s inputs quietly drift. Here is why one shared feature build beats ad-hoc spreadsheets for serious ML.

Analysis is only as good as the data you put in. Here are the essential cleaning steps before you run any numbers.