Many popular vision-language models (VLMs) have trended towards growing in parameter count and, in particular, the number of tokens they consume and generate. This leads to increase in training and inference-time cost and latency, and impedes their usability for downstream deployment, especially in resource‑constrained or interactive settings.
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3月8日起，北美地区开始实行夏令时，美国和加拿大金融市场交易时间和经济数据公布时间将较冬令时提前一小时。
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