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shot在英文里有“一小杯烈酒”的意思。朗文词典（longman）对shot的其中一条权威翻译是： a small amount of a strong alcoholic drink. (一小份高酒精度饮料)。 在咖啡中，shot被定义为一个标准量的咖啡粉（7g左右）做成的浓缩咖啡（注意，这里不止是espresso, 另外还可以是ristretto或者lungo）。1 shot可以简单理解为. N-way K-shot 是 few shot learning 中一个非常基础的概念。 N-way K-shot：从 Meta-dataset 中随机抽取 N 类样本， (更简单的说法就是 Support set 中的类别数量，其 label 的组成通常称之为 label set)，每类样本随机抽取 K+1 个实例。 One-shot learning 指的是我们在训练样本很少，甚至只有一个的情况下，依旧能做预测。 如何做到呢？可以在一个大数据集上学到general knowledge（具体的说，也可以是X->Y的映射），然后再到小数据上有技巧的update。 相关的名词还有 transfer learning , domain adaption。 其实Zero/One-shot learning都属于transfer learning.
综上所述，富士instax mini12、柯达Mini Shot 3 Retro和富士（FUJIFILM）instax拍立得wide400都是2025年最值得入手的拍立得相机。 它们不仅性价比高、便宜好用，还拥有各自独特的魅力和功能。 无论你是摄影新手还是资深爱好者，都能在这些相机中找到适合自己的那一款。 The shot是指乔丹在1989年5月7日，东部季后赛首轮G5公牛客场对骑士的比赛中，在球队落后1分的情况下投进的压哨绝杀球。 由于当时季后赛首轮采用5场3胜制，第5场就是最后一场。 由XX相机拍摄应该是是shot on XX还是shot by XX？ 百度翻译给的是shot by，谷歌翻译给的居然是taken by.但是iPhone宣传用的短语是shot on iPhone，不知道正确的表达应… 显示全部 关注者 8
Few-shot learning的预测准确率随 way 增加而减小，随 shot 增加而增加。因为对于2-way问题，预测准确率显然要比1000-way问题要高。而对于 shot，一个类别中样本数越多越容易帮助模型找到正确的类别。 少样本学习的基本思想 Few-shot learning的最基本的思想是学一个相似性函数： 来度量两个样本和的相似性.
认真答题的没一个看清题目的 看清题目的没一个认真答题的 这个题好神奇。。。 –––––––––––爪机分割线–––––––––––– the shot是打骑士的逆天滞空 the last shot才是世纪之投 一个是身体素质用到了极限 一个是技术动作用到了化境 都很难，也都有很大的意义在里面 the last shot. A shot refers to one uninterrupted piece of film that is run through the camera Hundreds of shots are edited together to make a finished film 2：a take is a single recording of a shot
Typically, many takes will be filmed of each shot Later, the editor will choose the best take of each shot and assemble these into the final film. 2. Zero-shot-CoT 零样本思维链（Zero Shot Chain of Thought，Zero-shot-CoT）提示过程是对 CoT prompting 的后续研究，引入了一种非常简单的零样本提示。 他们发现，通过在问题的结尾附加“ Let's think step by step ”这几个词，大语言模型能够生成一个回答问题的思维链。
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