The Phi-4 model was trained on just 1.4 million carefully chosen prompt-response pairs. Instead of brute force, the Microsoft ...
Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...
To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points ...
Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.
Ethnopharmacology, the study of traditional medicinal plant use within cultural contexts, has garnered significant attention for its potential to inspire ...
An artificial intelligence-based imaging analysis could serve as an aid in surgical planning for patients with kidney tumors.
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...
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