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Mimonets: Multiple-input-multiple-output neural networks exploiting computation in superposition
With the advent of deep learning, progressively larger neural networks have been designed
to solve complex tasks. We take advantage of these capacity-rich models to lower the cost of …
to solve complex tasks. We take advantage of these capacity-rich models to lower the cost of …
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference
Large language models (LLMs) have brought a great breakthrough to the natural language
processing (NLP) community, while leading the challenge of handling concurrent customer …
processing (NLP) community, while leading the challenge of handling concurrent customer …