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反正现在来看的话，perplexity ai已经完蛋了。 perplexity何德何能跟坐拥Google search+gemini模型的Google、坐拥X和Grok模型的X AI比啊。论搜索，perplexity的工程师对搜索的理解不可能干的过谷歌。论时效性也不可能干的过X。 从使用角度来说，Google 的deepreasearch效果比perplexity强八百条街，而Grok的deepersearch效果不. Perplexity 指控亚马逊借法律威胁打压 Comet 浏览器，实际情况如何？ Perplexity AI指责亚马逊因Comet浏览器进行法律威胁，称其存在霸凌行为周二，Perplexity AI指责亚马逊“霸凌”其用户。 此前，这… 显示全部 关注者 1 被浏览 Wikipedia article on perplexity does not give an intuitive meaning for the same
如何评价perplexity ai，会是未来搜索的趋势吗？ 这种通过GPT进行语义理解，基于搜索引擎的新型搜索引擎会颠覆现在的搜索方式吗？ 说到底，perplexity是一个问答引擎，360AI搜索也是。是为解决复杂语句搜索问题。最后我再谈谈场景。 我昨天读了一本书，书中有我不理解的地方或者说我想要了解更多的地方。于是我就用360AI搜索提问。问问AI是否知道文学常识。 AI搜索深度阅读网页，给我生成了相对准确的回复。我看到了之后不禁. 困惑度 Perplexity 是衡量语言模型好坏的指标，为了更好地理解其意义，首先有必要回顾熵的概念。 根据信息论与编码的知识，我们知道 熵代表着根据信息的概率分布对其编码所需要的最短平均编码长度。 Entropy 假设离散随机变量 X X 概率分布为 P (x 1) = 1 P (x 2) = 0
对于外文信息的检索肯定首选Perplexity，但是中文信息不见得，如果要从国内的AI搜索引擎中选择，秘塔和360推出的纳米AI搜索究竟谁更准确更好用…
先说说Perplexity Pro能干什么。 它是目前最好用的AI搜索引擎，没有之一。 你问它问题，它不仅给答案，还会标注来源。 Pro版本更狠：GPT-4、Claude、DeepSeek、Grok随便切换。 写代码用Claude，查资料用GPT，中文问题扔给DeepSeek。 连看病都可以用它的学术搜索功能反复确认治疗方案。 更重要的是，就在这. For example, lower perplexity indicates a better language model in general cases The questions are (1) what exactly are we measuring when we calculate the codebook perplexity in vq models (2) why would we want to have large codebook perplexity
What is the ideal perplexity for vq models Sorry if my questions are unclear.
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