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  2. Perplexity - Wikipedia

    en.wikipedia.org/wiki/Perplexity

    The inverse of the perplexity, 1/1.38 = 0.72, does not correspond to the 0.9 probability. 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 .

  3. 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 .

  4. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    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.

  5. Perplexity has raised hundreds of millions from Jeff Bezos and Nvidia while clashing with top media organizations over alleged copyright violations.

  6. Perplexity AI triples its valuation in about 6 months with ...

    www.aol.com/perplexity-ai-triples-valuation-6...

    Perplexity AI reportedly secured $500 million in its latest funding round this month. That puts the startup's valuation at $9 billion, tripling its worth within six months.

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

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

    Of course, even Perplexity does hit a $1 billion valuation, it has a long way to go to truly challenge Google, which has enormous resources and AI talent at its disposal—and whose parent ...

  8. 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]

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

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

    Perplexity AI is valued at $520 million. Google’s market cap is nearing $2 trillion. Perplexity’s CEO thinks he can take them on by being better.