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Enhancing Embedding Performance through Large Language Model-based Text Enrichment and Rewriting
Embedding models are crucial for various natural language processing tasks but can be limited by factors such as limited vocabulary, lack of context, and grammatical errors.
Adaptive Block Floating-Point for Analog Deep Learning Hardware
Analog mixed-signal (AMS) devices promise faster, more energy-efficient deep neural network (DNN) inference than their digital counterparts.
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