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2. Perplexity.ai - Wikipedia

   en.wikipedia.org/wiki/Perplexity.ai

   Perplexity. 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 sources from the web and cites links within the text response. [4] Perplexity works on a freemium model; the free product uses its ...

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

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

   On Thursday, San Francisco–based Perplexity announced that it has raised $73.6 million from a group of investors led by venture capital firm IVP and including Bezos, the $1.2 trillion AI chip ...

4. 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 ...

5. 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 ...

6. 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 ...

7. Wikipedia : Using neural network language models on Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Using_neural...

   This also applies to Perplexity AI and other AI "conversational" search engines like Microsoft Bing with ChatGPT integration, YouChat and other models that claimed to answer to complex questions but for a different reason; they cite unreliable sources (some if not most of which are listed in perennial sources list), Wikipedia itself, and/or ...