Anthropic 内部很早就意识到，训练 AI 模型光靠网络上的内容不够用。
Influencers have had a bad time of it at restaurants recently. There they are, just trying to record a quick video and take a few pictures of their lunch, and restaurateur Jeremy King (of the Ivy and the Wolseley in London) goes and writes an article saying they’re ruining the dining experience of “bona fide guests” – something he says staff are “desperately trying to stop”. I’ve read pieces calling TikTok the end of the London restaurant scene. Friends’ parents have even said they would get up and leave if they were sitting next to anyone filming their meal.
还有一个重要的指标——准确率。伯克利函数调用排行榜 (BFCL) 是评估函数调用能力的标准基准。 Gemma 3 1B 的得分约为 31%，Llama 3.2 1B 约为 26%，两者未经微调的性能都很弱。由于 Gemma 3n 是通用型程序，因此未对其进行测试。Hammer 2.1 0.5B 没有公开数据，但其 1.5B 版本开箱即用的得分约为 73%——尽管它在 int8 内存中占用约 1.5GB 的空间，是 FunctionGemma（288MB）的 5 倍。，详情可参考同城约会
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「像鬼一樣工作」：台灣外籍移工為何陷入「強迫勞動」處境，这一点在服务器推荐中也有详细论述
而每次有Seedance 2.0这样惊人的产品问世，我们的紧迫感恐怕都要增加好几分。学习，真的永无止境。