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Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [ 3 ] [ 4 ] Its developer, Perplexity AI, Inc., is based in San Francisco, California .
Perplexity AI closed a $500 million funding round, Bloomberg reported, tripling the startup's valuation within 6 months at $9 billion.
It is Perplexity, however, that is taking the biggest gamble, with an AI election hub that features live updates featuring data from The Associated Press and a partnership with the nonprofit voter ...
On Thursday, San Francisco–based Perplexity announced that it has raised $73.6 million from a group of investors led by venture capital firm IVP and including Bezos, the $1.2 trillion AI chip ...
Perplexity is sometimes used as a measure of the difficulty of a prediction problem. It is, however, generally not a straight forward representation of the relevant probability. For example, if you have two choices, one with probability 0.9, your chances of a correct guess using the optimal strategy are 90 percent.
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Alon Yamin, the cofounder and CEO of AI-based text analysis platform Copyleaks, said Perplexity's approach "can certainly help filter and contextualize content," helping users access reliable sources.
Perplexity measures how well a model predicts the contents of a dataset; the higher the likelihood the model assigns to the dataset, the lower the perplexity. In mathematical terms, perplexity is the exponential of the average negative log likelihood per token.