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.
Continue reading...。新收录的资料是该领域的重要参考
，这一点在新收录的资料中也有详细论述
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More like thisRadio 1 DJ Greg James comes out of 'challenge retirement' for Comic Relief。业内人士推荐新收录的资料作为进阶阅读
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