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Transformer blocks consist of multiple components, including attention.
Backpropagation adjusts model weights to minimize errors during learning.
Introduction of adversarial distillation improving model performance and image quality.
Translation tasks utilize full input data for precise predictions without restrictions.
The neural long-term memory module learns through surprising inputs and incorporates forgetting mechanisms.
Understanding posterior mean versus maximum a posteriori estimate in a Gaussian context.
Saana's models dramatically lower parameter sizes while maintaining image quality.
Reinforcement learning and Help Steer 2 improve Neaton's alignment with human feedback.
Reinforcement learning and Help Steer 2 improve Neaton's alignment with human feedback.