Comparison between the TIN, Knoll’s algorithm, and N-convex dithering using an 8-colour irregular palette. Left to right: TIN, Knoll, N-convex (N=4).
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值得一提的是，Qwen3.5-27B 作为 Qwen3.5 首个密集（Dense）模型，在工具调用、搜索、编程等多个 Agent 评测中均超过了GPT-5 mini；在视觉推理、文本识别和理解、视频推理等多项视觉理解榜单中，超过了 Qwen3-VL 旗舰模型和 Claude Sonnet 4.5。，推荐阅读heLLoword翻译官方下载获取更多信息
Фото: Кирилл Каллиников / РИА Новости