Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
Busting Brackets on MSN
The difference between predictive and results-based metrics
A breakdown of predictive and results-based metrics in college basketball, how the NCAA selection committee uses them, and why balance matters when evaluating tournament resumes.
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