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  2. Perplexity - Wikipedia

    en.wikipedia.org/wiki/Perplexity

    The base of the logarithm need not be 2: The perplexity is independent of the base, provided that the entropy and the exponentiation use the same base. In some contexts, this measure is also referred to as the (order-1 true) diversity. Perplexity of a random variable X may be defined as the perplexity of the distribution over its possible ...

  3. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Perplexity AI is a search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [3] Its developer, Perplexity AI, Inc., is based in San Francisco, California. [4]

  4. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  5. Perplexity AI CEO shares his advice to startup founders on ...

    www.aol.com/perplexity-ai-ceo-shares-advice...

    The CEO of Perplexity AI shared some principles that guided him as a startup founder.. Aravind Srinivas talked about having "an extreme bias for action" in a recent talk at Stanford. He also said ...

  6. Exclusive: Perplexity’s CEO says his AI search engine is ...

    www.aol.com/finance/exclusive-perplexity-ceo...

    Perplexity is simultaneously opening up a merchant program that it hopes will help it build direct relationships with big retailers to feed their product data into the AI system and potentially ...

  7. 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.

  8. Wikipedia : Using neural network language models on Wikipedia

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

    Experienced editors may ask an LLM to improve the grammar, flow, or tone of pre-existing article text. Rather than taking the output and pasting it directly into Wikipedia, you must compare the LLM's suggestions with the original text, and thoroughly review each change for correctness, accuracy, and neutrality. Summarizing a reliable source.

  9. The following is a list of public universities in Texas by enrollment. List of Public Universities in Texas by Fall Enrollment University 2023 2022 2021 [1] 2020 [1]

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