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0:57
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Every Neural Network Explained - LSTM with Attention
Ever wonder what the bottleneck was in older LLM architectures like LSTMs? They had to compress an entire sequence into a single fixed-size vector, leading to data loss and the model forgetting the start of the sentence. Enter Attention in 2014! Don't throw away the intermediate states. Attention gives the decoder access to the entire input ...
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I almost didn’t post this on a holiday (kaya nga 3am na to haha). Then I remembered that Virgilio Enriquez, the Father of Sikolohiyang Pilipino or Filipino Psychology called his life’s work liberation psychology. So I decided that this is exactly the day for it. Where did you first notice this conditioning in yourself? Mine showed up in how long it took me to cite Filipino thinkers in my own research. 🇵🇭 Happy Independence, everyone. May we all be as free in our minds as we are on the map.
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