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Visual Guide to ROPE Mechanism in Modern Language Models
Decoding Rotary Position Embeddings and Their Role in Long-Context Models Continue reading on Towards AI
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Deep Learning — 7 : Optimize your Neural Networks through Dropouts & Regularization.
There were a few hiccups that made them avoid deeper architectures, such as: Vanishing Gradients, t his made it difficult to train deep networks. Too little data, not enough samples, leading to overfi...
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Deep Learning Part — 8: Optimizing Neural Network’s Learning through Initialization & Normalization
Is it really random? How random it will be? To be precise, not exactly random. One of the most critical aspects of training deep neural networks is how you initialize the weights. These weights are no...
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