Large language models (LLMs) show excellent performance but are compute- and memory-intensive. Quantization can reduce memory and accelerate inference. However, for LLMs beyond 100 billion parameters, ...
The figure shows the general architecture of our proposed Gumbel Latent Typing module. Our BERT-SparseLT model can be continually pretrained from the BERT-base-uncased checkpoint on a single V100 GPU ...
HONG KONG, Dec. 16, 2025 /PRNewswire/ -- With parents placing greater emphasis on tutor credibility and transparency, Tutor Circle, a leading tutor matching platform based in Hong Kong, is ...
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