DeBERTa
DeBERTa (Decoding-enhanced BERT with Disentangled Attention) is a family of pre-trained language models developed by Microsoft Research that improves BERT and RoBERTa with two innovations: a disentangled…
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DeBERTa (Decoding-enhanced BERT with Disentangled Attention) is a family of pre-trained language models developed by Microsoft Research that improves BERT and RoBERTa with two innovations: a disentangled…
ZeRO (Zero Redundancy Optimizer) is a family of memory-optimization techniques for training large neural networks introduced by Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, and Yuxiong He at microsoft…