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We should strive to make exceptions readable and consistent throughout `gempyor`. Some general style guidelines include:
1. Choosing the correct exception for the given issue instead of just defaul…
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# Welcome to JunYoung's blog | Transformer와 Multimodal에 대하여
Attention mechanism
[https://junia3.github.io/blog/trnmultimodal](https://junia3.github.io/blog/trnmultimodal)
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### Model description
"Attention Is All You Need" is a landmark 2017 research paper authored by eight scientists working at Google, responsible for expanding 2014 attention mechanisms proposed by Bah…
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Would you please add the reference for the implementation details of the attention layer?
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Attention mechanisms are widely used in deep learning models, particularly in large language models. And a flexible attention kernel can help users to build accelerated language models conveniently on…
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The [Neural Machine Translation (seq2seq) Tutorial](https://github.com/tensorflow/nmt#background-on-the-attention-mechanism) contains a dead link under the **Background on the Attention Mechanism** se…
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Thank you very much for your great work !
I encountered a problem while reading the source code: what is the role of num_tokens?
I found the `num_tokens` parameter in the source code of `IPAttnPr…
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Thank you for your work.
after reading your paper, I have a question.
In Feature Split (FS) of sec. 3.2.2 Efficient Transformer, I was confused with the difference between this FS and window-att…
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Is there anybody reproduced the accuracy of ARJUN et al’S VIT on DEAP datasets?
In the related paper of "Introducing attention mechanism for EEG signals: Emotion recognition with vision transformer…
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Hi! I'm trying to use these sparse functions as an alternative to the softmax function in the attention mechanisms of transformers. However, the loss becomes NaN in the first iteration... Do you know …