Revolutionizing AI Efficiency: Meta AI’s New Approach, READ, Cuts Memory Consumption by 56% and GPU Use by 84%

Multiple Natural Language Processing (NLP) tasks have been completed using a large-scale transformers architecture with state-of-the-art outcomes. Large-scale models are typically pre-trained on generic web-scale data and then fine-tuned to specific downstream goals. Multiple gains, including better model prediction performance and sample efficiency, have been associated with increasing the size of these models. However, the […]

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