Category: Technology

/ Technology, Automation
When to serve a model with an API vs a batch job
Not every model needs a real-time endpoint. Here is how to choose between online inference and scheduled batch scoring without overbuilding.
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/ Technology, Analysis
RAG that holds up: citations, chunking, and grounding
“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.
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/ Technology, Data Integration
One feature table for training and scoring
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.
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