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For example, if you have two choices, one with probability 0.9, your chances of a correct guess using the optimal strategy are 90 percent. Yet, the perplexity is 2 −0.9 log 2 0.9 - 0.1 log 2 0.1 = 1.38. The inverse of the perplexity, 1/1.38 = 0.72, does not correspond to the 0.9 probability.
Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...
The following are a few examples of pre-determined text passages that have been used to obtain request exemplars. The text may be used exactly as shown here or modified to incorporate specific words or letter combinations that match the text of the questioned document. The London Letter Our London business is good, but Vienna and Berlin are ...
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
Over time, you build the team out further with a similar approach, targeting people who can "bring in new skills," he added. The AI CEO also talked about his approach to running a company as it grew.
Popular AI search engine Perplexity is debuting new shopping tools that it hopes will make its service a destination for product recommendations—and maybe even actual purchases. The startup is ...
If Perplexity gains the trust of its users, it could be a game-changer for easy-to-access election information and bring its competitors like OpenAI and Google off the sidelines.
You may use these neural networks for copyediting and paraphrasing, but note that it may not properly detect grammatical errors or keeping the key information intact. Use due diligence and do heavily edit the response from the neural network. Use due diligence when crafting prompts for neural networks.