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2. Perplexity.ai - Wikipedia

   en.wikipedia.org/wiki/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]

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

   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. 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.

6. Large language model - Wikipedia

   en.wikipedia.org/wiki/Large_language_model

   A large language model ( LLM) is a language model notable for its ability to achieve general-purpose language understanding and generation. LLMs acquire these abilities by learning statistical relationships from text documents during a computationally intensive self-supervised and semi-supervised training process. [1] LLMs can be used for text generation, a form of generative AI, by taking an ...

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 ...