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Amazon AI Researchers Proposed ‘DQ-BART’: A Jointly Distilled And Quantized BART Model That Achieves 16.5x Model Footprint Compression Ratio
MarkTechPost www.marktechpost.com
This Article is written as a summay by Marktechpost Staff based on the paper 'DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization'. All Credit For This Research Goes To The Researchers of This Project. Check out the paper and post. Please Don't Forget To Join Our ML Subreddit Sequence-to-sequence (seq2seq) models that have already […]
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