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  2. Perplexity.ai - Wikipedia

    en.wikipedia.org/wiki/Perplexity.ai

    Perplexity AI is an AI-chatbot-powered research and conversational search engine that answers queries using natural language predictive text. [2] [3] Launched in 2022, Perplexity generates answers using the sources from the web and cites links within the text response. [4]

  3. Jeff Bezos’s investment in Perplexity AI has nearly doubled ...

    www.aol.com/finance/jeff-bezos-investment...

    Perplexity is “one of the few consumer AI products to reach this major milestone of 10 million MAUs,” said Jonathan Cohen, VP of applied research at Nvidia, in the January funding announcement.

  4. Perplexity AI’s challenge to Google hinges on something ...

    www.aol.com/finance/perplexity-ai-challenge...

    And Srinivas’ Perplexity AI orchestra has played a promising first movement. The AI search startup last week announced that it had raised $73.6 million in a funding round led by IVP and ...

  5. Jeff Bezos–backed AI search startup’s CEO says ‘Google is ...

    www.aol.com/finance/jeff-bezos-backed-ai-search...

    Perplexity is “one of the few consumer AI products to reach this major milestone of 10 million MAUs,” said Jonathan Cohen, VP of Applied Research at Nvidia, in the announcement.

  6. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Perplexity. The most commonly used measure of a language model's performance is its perplexity on a given text corpus. Perplexity is a measure of how well a model is able to predict the contents of a dataset; the higher the likelihood the model assigns to the dataset, the lower the perplexity.

  7. Perplexity - Wikipedia

    en.wikipedia.org/wiki/Perplexity

    The perplexity is the exponentiation of the entropy, a more straightforward quantity. Entropy measures the expected or "average" number of bits required to encode the outcome of the random variable using an optimal variable-length code. It can also be regarded as the expected information gain from learning the outcome of the random variable ...

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