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Perplexityhas become the former AI companionship to release an in - depth enquiry tool , with a newfangled feature of speech announced Friday .
Googleunveiled a similar featurefor its Gemini AI chopine in December . Then OpenAIlaunched its own research agentearlier this month . All three company even have break the feature the same name : Deep Research .
The goal is to provide more in - depth answers with real commendation for more professional use vitrine , compared to what you ’d get from a consumer chatbot . Ina blog postannouncing Deep Research , Perplexity wrote that the feature “ excels at a grasp of expert - grade chore — from finance and marketing to ware research . ”
Perplexity Deep Research is presently available on the connection , and the fellowship read it will soon be added to its Mac , iOS , and Android apps . To practice it , you just prize “ Deep Research ” from a pearl - down menu when you submit your inquiry in Perplexity , which will then produce a detailed account that can be export as a PDF or shared as a Perplexity Page .
To make this study , Perplexity said Deep Research “ iteratively searches , reads documents , and cause about what to do next , refining its enquiry plan as it learns more about the dependent areas , ” purportedly “ exchangeable to how a man might research a new topic . ”
The company also highlighted its public presentation onHumanity ’s Last Exam , an AI benchmarking examination with expert - level questions in a variety of academic fields . Perplexity said its Deep Research tool scored 21.1 % on the test , easy beating most other models , such as Gemini Thinking ( 6.2 % ) , Grok-2 ( 3.8 % ) , and OpenAI ’s GPT-4o ( 3.3 % ) — but not quite twinned OpenAI ’s Deep Research ( 26.6 % ) .
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Perplexity ’s Deep Research also seems to perform more apace , completing most project in under three minutes compared to 5 to 30 minutes for OpenAI Deep Research .
ask to comparethe various rich research production , Perplexity provide an overview of the different technologies , pricing models , and carrying out in different use case and dependent matters , with link to article about each feature article . It summarized the differences as follows :
While it ’s too early to roll in the hay how these tools will affect routine and professional research as they become more pop , The Economistrecently highlightedshortcomings to OpenAI ’s Deep Research that likely apply here too : not just limitation to its “ creativity ” in interpreting data and a tendency to trust on sources that are “ easily available , ” but a with child risk of exposure that “ outsource all your inquiry to a supergenius help ” could “ boil down the number of chance to have your good ideas . ”
