Perplexity AI
Perplexity is a measure of how well a probability distribution or probability model predicts a sample. In the context of AI and natural language processing, perplexity is often used to evaluate the performance of language models. It measures how well a language model predicts a sample of text. Lower perplexity indicates better performance, meaning the model is less perplexed by the text it is trying to predict. If you have specific questions about Perplexity AI or its applications, feel free to ask!