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Perplexity is sometimes used as a measure of the difficulty of a prediction problem. It is, however, generally not a straight forward representation of the relevant probability. 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.
Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [ 3 ] [ 4 ] Its developer, Perplexity AI, Inc., is based in San Francisco, California .
The perplexity is a hand-chosen parameter of t-SNE, and as the authors state, "perplexity can be interpreted as a smooth measure of the effective number of neighbors. The performance of SNE is fairly robust to changes in the perplexity, and typical values are between 5 and 50.". [2]
Perplexity recently announced an experiment with advertising for its core search product in the form of sponsored “follow-up questions”—related questions that the AI system generates and ...
Perplexity AI reportedly secured $500 million in its latest funding round this month. That puts the startup's valuation at $9 billion, tripling its worth within six months.
Perplexity makes money by offering a Pro version for $20 per month that allows users to pick from various large language models, among them OpenAI’s GPT-4, Anthropic’s Claude 2.1, or the ...
To explain his belief that this is not the case, Maimonides devoted more than 20 chapters in the beginning (and middle) of the first part to analyzing Hebrew terms. Each chapter was about a term used to refer to God (such as "mighty") and, in each case, Maimonides presented a case that the word is a homonym , whereby its usage when referring to ...
In natural language processing, latent Dirichlet allocation (LDA) is a Bayesian network (and, therefore, a generative statistical model) for modeling automatically extracted topics in textual corpora.