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01｜Perplexity，始于搜索 我从 2023 年就开始用 Perplexity 了。 那时的它，还是个纯粹的 AI 搜索工具。 AI 搜索有个天然优势：你输入一个问题，它直接给你答案。 不像传统搜索引擎，给你一堆链接让你自己去找。 更不用提，你还能针对同一话题继续追问，它会记住上下文。 而传统搜索引擎，每次都得. 1月24日解禁了5090D的评测，在B站UP主装机猿和极客湾的测试中，5090D的AI性能与5090差不多，并未出现发布… 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？ 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？ [文章: ChatGPT与搜索引擎合体，谷歌都不香了，LeCun转发｜… 显示全部 关注者 228 知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容，聚集了中文互联网科技、商业、影视. 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…
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. 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.
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