search market has risen from 1.25% to 2.44%. In just the past two years, DuckDuckGo’s share of the U.S. one-half of one percent of the total worldwide search engine volume, meaning it handled almost 100 million search queries per day in 2021 to date. In fact, DuckDuckGo has managed to earn more than. DuckDuckGo is also a general-purpose search engine that aims to serve tech-savvy, privacy-conscious consumers. Brave Search is not the first privacy-focused search engine. It must remain the focus for just about every marketer.Ģ. So when it comes to search engine optimization or pay-per-click search ads, Google is far and away the most important search engine. The next largest search engine in terms of market share is Microsoft’s Bing, which had about 6.7% of the total market in February 2021, according to Statista. Google’s search engine owned somewhere between 86.6% and 92.2% of the worldwide search engine market at the time of writing, according to Statista and Statcounter, respectively. However, from the perspective of an ecommerce business or an omnichannel retailer, the Brave Search announcement - which will undoubtedly receive lots of media attention - should be understood in context. The final set of candidate text is ultimately processed by the summarizer/paraphrasing model, which tries to rewrite the input so that repetition is removed and that language is kept uniform to improve readability.Brave Search became available as a beta on June 22, 2021. The difference lies in the number and length of text snippets analyzed.Īfter the QA extraction phase, result candidates are further classified with an ensemble of zero-shot classifiers on a wide variety of criteria (hate-speech, vulgar writing, spam, etc). The first one is QA (question answering): this model is used to try to extract a concrete answer, if any, from text snippets.īrave has been using LLMs for a while to improve search relevance, and this is an extension of what Brave Search already had in place to power its knowledge graph and featured snippets features. “The Summarizer is not powered by ChatGPT or its backend systems it is instead composed of three different LLMs 2 trained on different tasks: It uses existing technology that was developed for displaying knowledge graphs and featured snippets. The underlying technology of the Summarizer is a Large Language Model that was developed in-house.
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