The most valuable and enlightening source of data is scientific research, and those who produce it are its primary consumers. To address this, Consensus has developed an AI-driven search engine that swiftly collects and condenses insights from scientific studies, with the goal of increasing global knowledge. By quickly analyzing millions of research papers, Consensus AI can provide answers to any question, revealing what the data indicates. It purports to make individuals experts on various topics, such as diet, exercise, and economic policy, in a matter of seconds.
Consensus AI claims to offer several benefits to its users, including scientifically-verified results. The company states that its AI searches only use published, peer-reviewed materials from renowned journals and researchers, amounting to over 400 million academic papers.
Consensus AI also offers quick analysis, saving users time by extracting the most relevant information about their question and presenting it to them. Additionally, the platform is completely ad-free, ensuring that users receive accurate information without any bias or influence.
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Revolutionizing academic search powered by Consensus AI
Do you ever find yourself wondering what the latest scientific research has uncovered? With Consensus AI, you can simply ask a question, and it will scour millions of academic publications to provide answers, complete with references and findings from relevant studies.
Consensus AI allows for customizable search preferences, filtering of results by various criteria, and the ability for users to provide feedback and ratings on the web pages they visit.
Consensus AI’s newest tool, powered by GPT-4, simplifies scientific summaries. The model selects the most pertinent answers to a question and provides them in the summary of the top 5-10 results. Additionally, the underlying results that drive the summary will be presented underneath the summary box, all sourced from reputable journal articles.
Curious about the community’s opinion on a topic? Consensus Meter can help! This tool utilizes large language models to collect responses to “Yes/No” questions and displays them as “Yes/No” or “Possibly.” The first 20 relevant results are measured, and only those deemed sufficiently relevant to the question will be classified.
The Consensus AI search engine is still in beta, with ongoing updates and expansions.
The Consensus app is an innovative AI search engine that leverages GPT-4 technology to extract and summarize data from scientific research papers. Its aim is to deliver evidence-based answers to users’ inquiries quickly and efficiently. With Consensus, users can access distilled insights directly from scientific studies, without the need for extensive reading or research.
Good to know: ChatGPT: discover features and 11 use cases
How does Consensus AI work and can help with scientific research
Consensus AI operates by first setting a percentage of data to cover and the number of assignees when initiating an annotation task. Dataloop then duplicates the data and assigns it randomly to contributors.
While browsing the task, only the original items are visible, not the copies. When browsing an assignment, the specific duplicates assigned to the contributor are visible. Once all copies of an item have been assigned with a status (e.g., Completed), the system merges all copies back onto the original item. Until that point, the original item will not display any annotations added to the duplicates.
When downloading consensus items’ data, the JSON file includes all annotations created by the different contributors with their usernames. This allows you to calculate your own scores and determine which annotations are of higher quality.
What can you search for on Consensus AI
Consensus AI can help you find answers to scientific questions, whether they’re related to biology, sociology, or other fields. Examples of suitable queries include “What factors lead to startup success?”, “Direct cash transfers and poverty”. “Yes/No” questions like “Does morning sunlight improve mood?”, “Are covid-19 vaccinations effective?” are also accepted.
Eric Olson, one of the co-founders of Consensus, has provided some helpful guidelines for using the platform. He suggests asking questions about topics that are likely to have been researched, such as “Does Zinc help with depression?” or “What are the effects of immigration on the economy?” Avoid asking about widely known facts, extremely narrow or obscure research questions, and enter queries looking for the relationship between two concepts.
Consensus AI leverages artificial intelligence to rank and display web pages based on their relevance, quality, and trustworthiness for scientific queries.
Benefits of using Consensus AI
Consensus AI search engine offers several benefits to its users. One of the main advantages is that it saves time and energy by providing condensed and accurate summaries of studies, eliminating the need to sift through extensive academic publications. Users can also evaluate alternative viewpoints independently. Additionally, Consensus is ad-free, ensuring unbiased and accurate information.
The company also highlights the following benefits of using their product:
Scientifically-verified results. Consensus AI search engine exclusively uses previously published, scholarly works for their machine learning queries. The company boasts access to 400 million scholarly articles from leading journals and authors.
Fast and reliable search. Consensus AI search engine leverages AI to quickly identify the most important aspects of a subject and present them to users.
Ad-Free. Consensus AI search engine is completely free of advertisements, ensuring users can trust the information provided.
How use the Consensus AI
To use the Consensus AI search engine, simply follow these steps:
- Go to the Consensus AI search engine website.
- Create an account to perform a search.
- Enter your question and search for free.
- You can also subscribe to their blog, share your findings, provide suggestions, or contact them for further assistance.
The emergence of language models like ChatGPT has highlighted the transformative potential of AI-powered search. In the future, we can expect to see a shift towards more answer-driven search results with fewer ads and blue links. However, to truly enhance the way we consume information, we also need synthesis engines that can automatically analyze and aggregate answers from multiple sources at scale.
In fields like science, where in-depth analysis is crucial, synthesis engines can play a particularly important role.
