This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...
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Flexible position encoding helps LLMs follow complex instructions and shifting states
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
Spiking neural networks (SNNs) have recently demonstrated significant progress across various computational tasks, due to their potential for energy efficiency. Neural radiance fields (NeRFs) excel at ...
A PyTorch implementation of GPT-2 that explores various positional encoding methods and attention mechanisms for enhanced language modeling. This project implements multiple novel positional encoding ...
GeneCoder has been enhanced with new encoding strategies, error correction, batch processing, and an improved GUI! (As of latest update) The toolkit now offers more ...
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