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  2. 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 ...

  3. 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 ...

  4. 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.

  5. Search startup Perplexity AI valued at $520 million in ... - AOL

    www.aol.com/news/search-startup-perplexity-ai...

    (Reuters) -Search startup Perplexity AI has raised $73.6 million from a group of investors including Nvidia and Amazon founder Jeff Bezos, the latest example of investors hunting for AI startups ...

  6. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    OpenAI is an American artificial intelligence (AI) research organization founded in December 2015, researching artificial intelligence with the goal of developing "safe and beneficial" artificial general intelligence, which it defines as "highly autonomous systems that outperform humans at most economically valuable work."

  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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