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by minimaxir
297 days ago
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Not everything has to be directly informative or solve a problem. Sometimes data visualization can look pretty for pretty's sake. Dimensionality reduction/clustering like this may be less useful for identifying trends in token embeddings, but for other types of embeddings it's extremely useful. |
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I wonder if being trained on significant amounts of synthetic data gave it any unique characteristics.