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mathjeff
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Jan 14, 2025
content/ArtificialIntelligence.txt
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| Then, we multiply Queries by P1, Keys by P2, and Values by P3. | ||
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| Then, for each token in Queries, we compute the similarity of that query to each other key via a dot product. |
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I assume here the Queries = Original Queries * P1. Maybe we can say something like the new Queries?
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Made some changes in the next version of this commit
mathjeff
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Jan 14, 2025
content/ArtificialIntelligence.txt
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| A value contain actual information for a key. | ||
| Multiple the attention weighting and the value to compute output. This extract relevant features based on the attention weighting. | ||
| The attention blocks help the model to identify important words. | ||
| The neural network allows the model to learn more complicated patterns. |
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Added a mention of the output of the neural network being the output of the layer
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It looks like the "Rebase and merge" button isn't working so I reported this as https://github.com/orgs/community/discussions/149282 It looks like "Squash and merge" should work though so I'll try that |
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