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| | polukhin.tech
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| | A robot sitting next to a human in an office, trending on artstation, beautiful coloring, 4k, vibrant, blue and yellow, by DreamStudio
| | sander.ai
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| | Perspectives on diffusion, or how diffusion models are autoencoders, deep latent variable models, score function predictors, reverse SDE solvers, flow-based models, RNNs, and autoregressive models, all at once!
| | harvardnlp.github.io
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| | [AI summary] The provided code is a comprehensive implementation of the Transformer model, including data loading, model architecture, training, and visualization. It also includes functions for decoding and visualizing attention mechanisms across different layers of the model. The code is structured to support both training and inference, with examples provided for running the model and visualizing attention patterns.
| | waituntilnextyear.com
21.9 parsecs away

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| 1 post published by Steve on September 21, 2020