The winner of this year's presentation prize is #ModConFlex researcher Albert Alcalde. Congratulations!!
In his presentation, Albert showed how #transformer models, the #NeuralNetworks used in language models, can be designed to perfectly learn relationships between sequences of data.
Albert's results help to explain why transformers are so effective at capturing complex patterns, providing new mathematical insight into their inner workings.
Slides:

