Transformer Architectures
Neural-network systems that model relationships among tokens using attention and parallel sequence processing.
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Bayesian Inference
A framework for updating probability distributions over unknown quantities when new evidence is observed.
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Artificial Neural Networks
Layered computational models that learn distributed representations by adjusting weighted connections from data.
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