Collaboratively adding new knowledge to an LLM von Lee, Rhui Dih, Wynter, Laura

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Flexible and Effective Mixing of Large Language Models into a Mixture of Domain Experts von Lee, Rhui Dih, Wynter, Laura, Ganti, Raghu Kiran

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Collaboratively adding new knowledge to an LLM von Rhui Dih Lee, Wynter, Laura

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Transfer-Once-For-All: AI Model Optimization for Edge von Kundu, Achintya, Wynter, Laura, Lee, Rhui Dih, Bathen, Luis Angel

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Enhancing Training Efficiency Using Packing with Flash Attention von Kundu, Achintya, Lee, Rhui Dih, Wynter, Laura, Ganti, Raghu Kiran, Mishra, Mayank

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Efficiently Distilling LLMs for Edge Applications von Kundu, Achintya, Lim, Fabian, Chew, Aaron, Wynter, Laura, Chong, Penny, Lee, Rhui Dih

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Flexible and Effective Mixing of Large Language Models into a Mixture of Domain Experts von Rhui Dih Lee, Wynter, Laura, Ganti, Raghu Kiran

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UNCONSTRAINED AND ELASTIC ID DOCUMENT IDENTIFICATION IN AN RGB IMAGE von DUGAND, Juan-David, BEZIAT, Michel, LEE, Rhui Dih

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UNCONSTRAINED AND ELASTIC ID DOCUMENT IDENTIFICATION IN AN RGB IMAGE von DUGAND, Juan-David, BEZIAT, Michel, LEE, Rhui Dih

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Transfer-Once-For-All: AI Model Optimization for Edge von Kundu, Achintya, Wynter, Laura, Rhui Dih Lee, Bathen, Luis Angel

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Enhancing Training Efficiency Using Packing with Flash Attention von Kundu, Achintya, Rhui Dih Lee, Wynter, Laura, Ganti, Raghu Kiran, Mishra, Mayank

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DEPLOYING DEEP LEARNING MODELS AT EDGE DEVICES WITHOUT RETRAINING von Bathen, Luis Angel, Kundu, Achintya, Lee, Rhui Dih, Desai, Nirmit V, Wynter, Laura

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Efficiently Distilling LLMs for Edge Applications von Kundu, Achintya, Lim, Fabian, Chew, Aaron, Wynter, Laura, Chong, Penny, Rhui Dih Lee

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