The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...
Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in early-stage personalization teams is trying to rank every item in the catalog in ...
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
Even after hospitals strip out names and zip codes, modern AI can sometime still work out who patients are. Great news for insurance companies; not so much for healthcare recipients. New research from ...
Public health recommendations suggest individuals can resume normal activities 5 days after symptom cessation. However, our study finds that full recovery can take longer, indicating that delayed ...
A pet cow named Veronika can scratch her own back with a broom — the first scientifically documented case of tool use in cows, researchers say. By Emily Anthes For a cow, Veronika has had what might ...
A machine learning model predicts progression independent of relapse activity (PIRA) in early multiple sclerosis. Key predictors for PIRA include age at symptom onset, early disability scores, and ...
Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...
Abstract: Competency-based education (CBE) in higher education demands interpretable and scalable tools to monitor student progress. Current studies on CBE have used small samples in short evaluation ...
bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
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