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  2. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    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 .

  3. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.

  4. t-distributed stochastic neighbor embedding - Wikipedia

    en.wikipedia.org/wiki/T-distributed_stochastic...

    The perplexity is a hand-chosen parameter of t-SNE, and as the authors state, "perplexity can be interpreted as a smooth measure of the effective number of neighbors. The performance of SNE is fairly robust to changes in the perplexity, and typical values are between 5 and 50.". [2]

  5. Perplexity AI CEO shares his advice to startup founders on ...

    www.aol.com/perplexity-ai-ceo-shares-advice...

    The CEO of Perplexity AI shared some principles that guided him as a startup founder.. Aravind Srinivas talked about having "an extreme bias for action" in a recent talk at Stanford. He also said ...

  6. 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.

  7. Perplexity - Wikipedia

    en.wikipedia.org/wiki/Perplexity

    The base of the logarithm need not be 2: The perplexity is independent of the base, provided that the entropy and the exponentiation use the same base. In some contexts, this measure is also referred to as the (order-1 true) diversity. Perplexity of a random variable X may be defined as the perplexity of the distribution over its possible ...

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