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The perplexity PP of a discrete probability distribution p is a concept widely used in information theory, machine learning, and statistical modeling.It is defined as ():= = = ()
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 .
PP also includes BQP, the class of decision problems solvable by efficient polynomial time quantum computers. In fact, BQP is low for PP, meaning that a PP machine achieves no benefit from being able to solve BQP problems instantly. The class of polynomial time on quantum computers with postselection, PostBQP, is equal to PP [5] (see #PostBQP ...
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
The perplexity is a hand-chosen parameter of t-SNE, and as the authors state, "perplexity can be interpreted as a smooth measure of the effective number of neighbors. The performance of SNE is fairly robust to changes in the perplexity, and typical values are between 5 and 50.". [2]
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.
This page was last edited on 18 January 2025, at 17:39 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
U.S. search engine startup Perplexity AI submitted a bid on Saturday to TikTok's Chinese parent ByteDance for Perplexity to merge with TikTok U.S., a source familiar with the company's plans told ...