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What Is Perplexity?
Perplexity is a measurement used in artificial intelligence (AI) and natural language processing (NLP) to evaluate how well a language model predicts text. In simple terms, perplexity measures how “confused” a model is when trying to guess the next word in a sentence.
Perplexity serves 10million active users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users.
The lower the perplexity score, the better the model understands and predicts language patterns. A higher perplexity score means the model is less certain and more likely to make errors.
Perplexity is commonly used in evaluating language models such as OpenAI, Google, and other AI research organizations developing advanced AI systems.
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Perplexity
Perplexity is a free AI-powered answer engine that provides accurate, trusted, and real-time answers to any question.