Serving files for hungry LLMs
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Updated
Mar 9, 2026 - Python
Serving files for hungry LLMs
Backorders are unavoidable, but by anticipating which things will be backordered, planning can be streamlined at several levels, preventing unexpected strain on production, logistics, and transportation. ERP systems generate a lot of data (mainly structured) and also contain a lot of historical data; if this data can be properly utilized, a pred…
Machine Learning in Production
An interactive ML web application for monitoring and predicting cosmetic product quality. Uses Random Forest Classifier to assess batch safety based on pH, viscosity, and contaminants. Features real-time predictions, performance metrics dashboard, and automatic model retraining.
This repository includes a Streamlit ML Classification project files. You can visit the website via the link below.
End to End MLOps with Berka Bank Dataset and VertexAI
This project to implement different way to scale up AI system like using kafka, improve performance using batch prediction, ....
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