What Makes You Notice a Store’s Sign, or Ignore It? The Answer Makes This Franchise $115 Million a Year.

· · 来源:tea资讯

「很多人認為,只要用一些神奇的詞語,就能讓大型語言模型解決問題,」美國范德比爾特大學(Vanderbilt University)研究生成式AI的電腦科學教授朱爾斯·懷特(Jules White)說,「但關鍵不在於用詞,而在於你如何從根本上表達你想要做的事情。」

Think about the user experience difference. In traditional search, someone sees your site listed among ten results and must decide whether to click based on a title and two-line description. In AI search, someone reads an answer that includes information from your content, sees your site cited as the source, and arrives at your page already understanding its value and relevance. The qualification happens before the click, resulting in higher-quality traffic with better engagement metrics.

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that issued cash based on validating a token. The actual decision making, on

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Update, February 27, 9PM ET: This story was updated twice after publish. First at 6PM ET to include a link to and quotes from Hegseth about the designation of Anthropic as a supply chain risk. Later, a quote from Anthropic was added, along with a link to the company’s blog post on the subject.

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