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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 free model uses the company's standalone LLM based on GPT-3.5 with browsing. [5] [6] It uses the context of the user queries to provide a personalized search result.. Perplexity summarizes the search results and produces text with inline citatio
Perplexity’s CEO thinks he can take them on by being better. Google’s market cap is nearing $2 trillion. Perplexity AI’s challenge to Google hinges on something simple but tough—being the best
GPT-3 trying to write an encyclopedic paragraph about water scarcity in Yemen. With the rise of machine learning, discussions about Wikipedia and AI models are becoming more and more heated. As of December 2022, with the release of ChatGPT for free to the public, AI has shown its potential to either massively improve or disrupt Wikipedia. It is ...
Unigram models of different documents have different probabilities of words in it. The probability distributions from different documents are used to generate hit probabilities for each query. Documents can be ranked for a query according to the probabilities. Example of unigram models of two documents:
Write a program (it can write programs in about 20 programming languages) Write a userscript; Write a lua module; Explain what a program does, line by line; Improve or refactor a program, userscript, or lua module; Convert a program from one programming language to another; Write MediaWiki wiki text (and present it in a code block)
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