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  2. Perplexity.ai - Wikipedia

    en.wikipedia.org/wiki/Perplexity.ai

    Website. www .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] Perplexity works on a freemium model; the ...

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

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

    Founded in August 2022, Perplexity aims to challenge Google by offering an AI-based search engine that is “part chatbot and part search engine, offering real-time information and footnotes ...

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

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

    Founded in August 2022, the startup known as Perplexity aims to challenge Google by offering an AI-based search engine that is “part chatbot and part search engine, offering real-time ...

  5. OpenAI plans new AI-powered search engine to take on Google - AOL

    www.aol.com/openai-plans-ai-powered-search...

    Startup Perplexity, which has a valuation of $1 billion, was founded by a former OpenAI researcher, and has gained traction through providing an AI-native search interface that shows citations in ...

  6. Google unleashes AI in search, raising hopes for better ...

    lite.aol.com/pf/story/0001/20240515/ebb6bbbde17...

    The increased AI emphasis will bring new risks to an internet ecosystem that depends heavily on digital advertising as its financial lifeblood. Google stands to suffer if the AI overviews undercuts ads tied to its search engine — a business that reeled in $175 billion in revenue last year alone.

  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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