Dao-AILab/flash-attentionPublic NotificationsYou must be signed in to change notification settings Fork1.5k Star16k Code Issues657 Discussions Actions Projects Security Insights What's the exactly formula ofsoftmax_lse?#404 New issue Closed
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This is known as the exploding gradient problem. It also happens when the weights or parameters of an RNN are incorrect, leading to the prioritization of the wrong parts of a sequence. Even with these disadvantages, RNNs are a massive achievement in ML and AI, as they give computers a ...
Random routing:While the “top” expert in their top-2 setup is selected using the standard softmax function, the second expert is chosen at semi-random (with the probability of any expert being picked proportionate to the weight of its connection). The second-highest ranked expert is thusmos...
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This typically includes linear transformation, along with a softmax function that converts vector numbers into a probability distribution. For example, an English-to-French translator selects and orders the words in French. While the output is typically created word by word, advanced transformers ...
mistakes in the acoustic model. A beam search decoder weights the relative probabilities of the softmax output against the likelihood of certain words appearing in context and tries to determine what was spoken by combining both what the acoustic model thinks it heard with what is a likely next...
“hard targets” in this context, deep learning models typically make multiple preliminary predictions and use asoftmax functionto output the prediction with the highest probability. During training, a cross-entropy loss function is used to maximize the probability assigned to the correct output and ...
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