Is Perplexity AI the future of internet searching? As a concept, it’s similar to ChatGPT and Google combined. However, unlike Google, Perplexity Ask provides citations for the search results, which is a valuable tool for verifying the accuracy of the information provided. Perplexity.ai has introduced a new conversational search engine designed to provide information through a chatbot-style interface and large language model (LLM) similar to how OpenAI’s ChatGPT works. The difference is that Perplexity uses current information, including footnotes with links to the sources of the data. In summary, Perplexity Ask is a conversational search engine that provides direct answers with citations and incorporates follow-up questions and related searches. It is designed to verify the accuracy of the information provided and help ensure that users are not misled by incorrect or biased information.
Compared to traditional search engines like Google, Perplexity Ask provides citations for the search results, which is a valuable tool for verifying the accuracy of the information provided.
The History of Perplexity;
Perplexity AI is a company that develops an AI-based search engine platform. The company was founded in August 2022 by Aravind Srinivas, Denis Yarats, Johnny Ho, and Andy Konwinski. Srinivas previously worked on language and diffusion generative models at OpenAI, Yarats had been an AI research scientist at Facebook AI Research, and Konwinski is a cofounder of DataBricks. The company’s flagship product is Perplexity Ask, a search engine that delivers answers to complex questions using large language models. It is powered by OpenAI’s GPT-3.5 models and Microsoft’s Bing search.
Unlike a typical search engine, Perplexity offers a chatbot-like interface that allows users to ask questions in natural language, to which its AI responds by citing sites and sources from around the web. Users can ask follow-up questions to dive deeper into a particular topic and Perplexity will summarize the results to provide a direct answer. In February 2023, Perplexity released a Chrome extension for Perplexity Ask. The company also offers Bird SQL, a search interface for Twitter that translates natural language into SQL code. In March 2023, Perplexity launched an iOS app that introduced features like user sign-in for personalization, persistent search history, and social sharing. The company has received $26 million in funding in a Series A round led by NEA.
Setting Itself Apart;
Perplexity AI sets itself apart from other AI-powered search engines in several ways:
- Conversational-style search:
Unlike traditional search engines, Perplexity offers a chatbot-like interface that allows users to ask questions in natural language, to which its AI responds by citing sites and sources from around the web. Users can ask follow-up questions to dive deeper into a particular topic and Perplexity will summarize the results to provide a direct answer. - Personalization:
Perplexity offers personalized recommendations, automated query expansion, and natural language understanding. - Accuracy:
Perplexity is able to generate search results with a much higher rate of accuracy than traditional search engines, allowing users to get the most accurate and relevant results. - Social aspect:
Perplexity has introduced features that add a Wikipedia-style social aspect to search, a direction toward which Perplexity hopes to push toward in the future. - Fully cited answers:
Perplexity provides concise, fully cited answers in real-time. - iOS app:
Perplexity has released an iOS app that introduces features like user sign-in for personalization, persistent search history, and social sharing.
Better than traditional Search Engines?
Furthermore, unlike traditional search engines that answer queries by serving links, Perplexity Ask summarizes the results to provide a direct answer and provides citations that enable the information to be verified. Perplexity Ask also incorporates follow-up questions and related searches to help users find what they want. Each follow-up question creates a new search query and in the process, facilitates a conversational search experience. Perplexity Ask is designed to verify the accuracy of the information provided and help ensure that users are not misled by incorrect or biased information.
In summary, Perplexity can be used to evaluate language models and predict uniformly among the set of specified tokens in a corpus. It can also be used in text classification to choose the label with minimum perplexity. However, it is not always accurate as a measure of how hard a prediction problem is.
While it’s great for getting answers, it’s not yet able to build you a website and that’s where we can help. If you’re looking for a new website, a refresh for your existing one or if you’ve run into trouble, contact us and we’ll get you the answers you need.
