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Efficiently Distilling LLMs for Edge Applications
Supernet training of LLMs is of great interest in industrial applications as it confers the ability to produce a palette of smaller models at constant cost, regardless of the number of models (of different size / latency) produced.
Transfer-Once-For-All: AI Model Optimization for Edge
Hence, we propose Transfer-Once-For-All (TOFA) for supernet-style training on small data sets with constant computational training cost over any number of edge deployment scenarios.
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