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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. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Some examples of commonly used question answering datasets include TruthfulQA, Web Questions, TriviaQA, and SQuAD. [125] Evaluation datasets may also take the form of text completion, having the model select the most likely word or sentence to complete a prompt, for example: "Alice was friends with Bob. Alice went to visit her friend, ____". [1]

  4. List of pen names - Wikipedia

    en.wikipedia.org/wiki/List_of_pen_names

    This is a list of pen names used by notable authors of written work. A pen name or nom de plume is a pseudonym adopted by an author.A pen name may be used to make the author' name more distinctive, to disguise the author's gender, to distance the author from their other works, to protect the author from retribution for their writings, to combine more than one author into a single author, or ...

  5. Wikipedia : Using neural network language models on Wikipedia

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

    You may use these neural networks for copyediting and paraphrasing, but note that it may not properly detect grammatical errors or keeping the key information intact. Use due diligence and do heavily edit the response from the neural network. Use due diligence when crafting prompts for neural networks.

  6. Readability - Wikipedia

    en.wikipedia.org/wiki/Readability

    Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...

  7. Perplexity AI’s challenge to Google hinges on something ...

    www.aol.com/finance/perplexity-ai-challenge...

    Perplexity’s CEO thinks he can take them on by being better. Google’s market cap is nearing $2 trillion. Perplexity AI’s challenge to Google hinges on something simple but tough—being the best

  8. 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 ...

  9. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    The free model uses the company's standalone LLM based on GPT-3.5 with browsing. [5] [6] It uses the context of the user queries to provide a personalized search result.. Perplexity summarizes the search results and produces text with inline citatio