Transformers w/attention mechanisms (weighted probabilities to calculate outputs). Parallel inputs / sequential outputs (limited in context).
Embeddings (numerical rep. data) -> query . key vectors -> multi-layer perceptron (neural network that models inputs to nonlinear functions, models loss (compared w/correct output), and back-propagates (based on learning from correct output, change weight of model)
— May 11, 2025 11:49PM
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