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Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [ 3 ] [ 4 ] Its developer, Perplexity AI, Inc., is based in San Francisco, California .
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.
The fact that W is grayed out means that words are the only observable variables, and the other variables are latent variables. As proposed in the original paper, [ 3 ] a sparse Dirichlet prior can be used to model the topic-word distribution, following the intuition that the probability distribution over words in a topic is skewed, so that ...
(A) This is an acceptable reservation if the reserving country’s legislation employs a different definition (B) This is an unacceptable reservation because it contravenes the object and purpose of the ICCPR (C) This is an unacceptable reservation because the definition of torture in the ICCPR is consistent with customary international law
Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...
Perplexity did not immediately respond to a request for comment from Business Insider. Here's everything you need to know about the company's rise and the allegations it's facing. Big-name investors
Thus, a random variable with a perplexity of k can be described as being "k-ways perplexed," meaning it has the same level of uncertainty as a fair k-sided die. Perplexity is sometimes used as a measure of the difficulty of a prediction problem. It is, however, generally not a straight forward representation of the relevant probability.
Logic learning machine (LLM) is a machine learning method based on the generation of intelligible rules. LLM is an efficient implementation of the Switching Neural Network (SNN) paradigm, [ 1 ] developed by Marco Muselli, Senior Researcher at the Italian National Research Council CNR-IEIIT in Genoa .