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BLT architecture (source: arXiv) The encoder and decoder are lightweight models. The encoder takes in raw input bytes and creates the patch representations that are fed to the global transformer.
An encoder-decoder language model is more efficient than a decoder-only model, Microsoft said. Image: Microsoft Mu is optimized for the NPUs on Copilot+ PCs ...
The decoder has a layered architecture that allows for twice as fast convergence behavior and half the latency when compared to state-of-the-art solutions. Decoder and encoder perform with 1.6 Gbit/s ...
The Proposed Architecture My team and I propose separating the encoder from the rest of the model architecture: 1. Deploy a lightweight encoder on the wearable device's APU (AI processing unit). 2.
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