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Website. www .perplexity .ai. Perplexity AI is an AI-chatbot-powered research and conversational search engine that answers queries using natural language predictive text. [2] [3] Launched in 2022, Perplexity generates answers using the sources from the web and cites links within the text response. [4] Perplexity works on a freemium model; the ...
On Thursday, San Francisco–based Perplexity announced that it has raised $73.6 million from a group of investors led by venture capital firm IVP and including Bezos, the $1.2 trillion AI chip ...
Perplexity AI is valued at $520 million. Google’s market cap is nearing $2 trillion. Perplexity’s CEO thinks he can take them on by being better.
Startup Perplexity, which has a valuation of $1 billion, was founded by a former OpenAI researcher, and has gained traction through providing an AI-native search interface that shows citations in ...
The perplexity is the exponentiation of the entropy, a more straightforward quantity. Entropy measures the expected or "average" number of bits required to encode the outcome of the random variable using an optimal variable-length code. It can also be regarded as the expected information gain from learning the outcome of the random variable ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals.
Of course, even Perplexity does hit a $1 billion valuation, it has a long way to go to truly challenge Google, which has enormous resources and AI talent at its disposal—and whose parent ...
Perplexity. The most commonly used measure of a language model's performance is its perplexity on a given text corpus. Perplexity is a measure of how well a model is able to predict the contents of a dataset; the higher the likelihood the model assigns to the dataset, the lower the perplexity.
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