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Free University of Bozen-Bolzano
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Quantizing BERT and training it across multiple systems lets you achieve anomaly detection performance on par with full BERT, but with the speed of static word embeddings.
Finally, a CI/CD pipeline that makes the energy consumption of your containerized API visible at every commit, enabling data-driven optimization.
