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  2. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Perplexity measures how well a model predicts the contents of a dataset; the higher the likelihood the model assigns to the dataset, the lower the perplexity. In mathematical terms, perplexity is the exponential of the average negative log likelihood per token.

  3. 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 ...

  4. 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.

  5. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    For example, it is used for discovering exoplanets, forecasting solar activity, and distinguishing between signals and instrumental effects in gravitational wave astronomy. Additionally, it could be used for activities in space, such as space exploration, including the analysis of data from space missions, real-time science decisions of ...

  6. Word n-gram language model - Wikipedia

    en.wikipedia.org/wiki/Word_n-gram_language_model

    Note that the context of the first n – 1 n-grams is filled with start-of-sentence markers, typically denoted <s>. Additionally, without an end-of-sentence marker, the probability of an ungrammatical sequence *I saw the would always be higher than that of the longer sentence I saw the red house.

  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. 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 ...

  9. Perplexity (disambiguation) - Wikipedia

    en.wikipedia.org/wiki/Perplexity_(disambiguation)

    Perplexity is a measurement of how well a probability distribution or probability model predicts a sample. Perplexity may also refer to: Perplexity, a 1990 video game; Perplex City, an alternate reality game (ARG) Perplexity AI, a conversational search engine