The groundbreaking work of a bunch of Googlers in 2017 introduced the world to transformers — neural networks that power popular AI products today. They power the large-language model, or LLM, beneath ...
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Residual connections explained: Preventing transformer failures
Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight updates, and slow convergence. In this video, we break down one of the most ...
A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...
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