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In information theory, perplexity is a measure of uncertainty in the value of a sample from a discrete probability distribution. The larger the perplexity, the less likely it is that an observer can guess the value which will be drawn from the distribution.
Jan 27, 2022 · In general, perplexity is a measurement of how well a probability model predicts a sample. In the context of Natural Language Processing, perplexity is one way to evaluate...
Perplexity is a tool that you use, not an AI you talk to. We don't anthropomorphize the technology but instead give it to you to wield. Imagine having instant access to the world's knowledge in your pocket.
Oct 8, 2021 · Perplexity is an information theoretic quantity that crops up in a number of contexts such as natural language processing and is a parameter for the popular t-SNE algorithm used for dimensionality reduction. Like entropy, perplexity provides a measure of the amount of uncertainty of a random variable.
In general, perplexity is a measurement of how well a probability model predicts a sample. In the context of Natural Language Processing, perplexity is one way to evaluate language models.
PERPLEXITY meaning: 1. a state of confusion or a complicated and difficult situation or thing: 2. a state of confusion…. Learn more.
Definition of perplexity noun in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
May 18, 2020 · Perplexity is a useful metric to evaluate models in Natural Language Processing (NLP). This article will cover the two ways in which it is normally defined and the intuitions behind them. A language…
6 days ago · , opens new tab Vision Fund 2 is investing between $10 million and $20 million in U.S. search startup Perplexity AI at a valuation of $3 billion, Bloomberg News reported on Thursday.
