Perplexity
Definition: A measure of how well a probability distribution predicts a sample. In the context of natural language processing, it's used to evaluate language models.
Company: Perplexity AI
Founded: 2022
Headquarters: San Francisco, California
Known for: AI-powered search engine and conversational AI assistant
Perplexity AI - The Answer Engine
https://www.perplexity.ai/
Perplexity AI is a revolutionary search engine that leverages artificial intelligence to provide accurate, up-to-date answers to your questions. It combines the power of large language models with real-time information retrieval to deliver comprehensive and contextual responses.
Perplexity - Wikipedia
https://en.wikipedia.org/wiki/Perplexity
Perplexity is a measurement of how well a probability distribution or probability model predicts a sample. It may be used to compare probability models. A low perplexity indicates the probability distribution is good at predicting the sample.
Perplexity in Language Models - Towards Data Science
https://towardsdatascience.com/perplexity-in-language-models-87a196019a94
This article explains the concept of perplexity in language models, its mathematical definition, and how it's used to evaluate the performance of language models. It provides insights into why perplexity is a valuable metric in natural language processing.