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Perplexity Ask: A Game-Changing Search Tool Powered by AI
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Perplexity Ask: A Game-Changing Search Tool Powered by AI

Towards AI
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February 16, 2023
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Last Updated on February 23, 2023 by Editorial Team

Author(s): Alexandros Pappas

Originally published on Towards AI.

https://www.perplexity.ai/

Excited to share a game-changing tool that has improved my information search process — Perplexity Ask. Powered by large language models (such as the OpenAI API) and search engines, Perplexity provides quick and explanatory results for my queries. While accuracy is dependent on search results and AI capabilities, I’ve found it to be a valuable resource and have even replaced Google with Perplexity as my go-to search engine.

Introduction to Perplexity Ask

Perplexity Ask is a new search interface that uses advanced artificial intelligence technologies, such as OpenAI’s GPT-3 model, to provide direct answers to questions and summaries and citations for search results. This is a major departure from traditional search engines that simply provide a list of links, and allows users to quickly and easily find the information they need without having to click through multiple pages or search through irrelevant results.

One of the standout features of Perplexity Ask is the inclusion of citations for the search results. This is a valuable tool for verifying the accuracy of the information provided and helps to ensure that users are not misled by incorrect or misleading information. In this way, Perplexity Ask is similar to the Google PageRank algorithm, which uses citations as a way to determine the quality and relevance of a webpage.

Examples of Perplexity Ask in Action

But Perplexity Ask is not just a useful tool for finding information — it can also provide insights and reveal interesting or unexpected results. For example, when I searched for “twitter files, all parts” Perplexity Ask provided a summary of the internal documents shared by Twitter owner Elon Musk with independent journalists in December 2022, as well as citations for further information. The summary revealed details about Twitter’s operations, including how it deplatformed President Trump and how the FBI reimbursed Twitter over $3 million for work done regarding legal process.

twitter files, all parts — Perplexity Ask

Another interesting search I conducted was “what does Elon Musk say about OpenAI ChatGPT” Perplexity Ask provided a summary of the chatbot created by OpenAI, which was founded by Musk, and its relationship to the GPT-2 algorithm. The summary also mentioned that Musk put a stop to the chatbot accessing Twitter’s database to train itself and that he has previously called it “scary good” and warned that we are not far from dangerously strong AI.

what does Elon Musk say about OpenAI ChatGPT — Perplexity Ask

Perplexity Ask can also be useful for finding practical solutions to problems, such as when I searched for “access private S3 buckets securely” Perplexity Ask provided a summary of different methods for accessing private S3 buckets securely, including pre-signed URLs, VPC endpoints, IAM user policies, and configuring S3 bucket access parameters.

access private S3 buckets securely — Perplexity Ask

The Future of Search

In addition to its valuable search capabilities, Perplexity Ask has a few other notable features. It does not include distracting ads and does not require a sign-up or login to use. It also does not collect personal information, making it a secure and private way to search for information.

As AI continues to advance and more powerful language models become available, it is likely that we will see even more innovative search tools like Perplexity Ask. These technologies have the potential to greatly enhance our ability to find and verify information online and will likely play a major role in shaping the future of search.

Conclusion

In conclusion, Perplexity Ask is a game-changing tool that has the potential to revolutionize the way we access and evaluate information online. Its use of advanced artificial intelligence technologies and the inclusion of citations for search results make it a valuable resource for quickly and accurately finding the information you need. With the potential to reshape the future of search, Perplexity Ask is definitely worth checking out.

I encourage readers to try out Perplexity Ask for themselves and see how it can improve their information search process. Remember to not enter personal information and be aware of the possibility of offensive or dangerous content. Perplexity is not liable for any content generated. So if you’re looking for a new and improved way to search for information, give Perplexity Ask a try and see how it can transform your information search process.

Perplexity Ask: A Game-Changing Search Tool Powered by AI was originally published in Towards AI on Medium, where people are continuing the conversation by highlighting and responding to this story.

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} strongTag.remove(); }); }); } removeStrongFromHeadings(); "use strict"; window.onload = () => { /* //This is an object for each category of subjects and in that there are kewords and link to the keywods let keywordsAndLinks = { //you can add more categories and define their keywords and add a link ds: { keywords: [ //you can add more keywords here they are detected and replaced with achor tag automatically 'data science', 'Data science', 'Data Science', 'data Science', 'DATA SCIENCE', ], //we will replace the linktext with the keyword later on in the code //you can easily change links for each category here //(include class="ml-link" and linktext) link: 'linktext', }, ml: { keywords: [ //Add more keywords 'machine learning', 'Machine learning', 'Machine Learning', 'machine Learning', 'MACHINE LEARNING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ai: { keywords: [ 'artificial intelligence', 'Artificial intelligence', 'Artificial Intelligence', 'artificial Intelligence', 'ARTIFICIAL INTELLIGENCE', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, nl: { keywords: [ 'NLP', 'nlp', 'natural language processing', 'Natural Language Processing', 'NATURAL LANGUAGE PROCESSING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, des: { keywords: [ 'data engineering services', 'Data Engineering Services', 'DATA ENGINEERING SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, td: { keywords: [ 'training data', 'Training Data', 'training Data', 'TRAINING DATA', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ias: { keywords: [ 'image annotation services', 'Image annotation services', 'image Annotation services', 'image annotation Services', 'Image Annotation Services', 'IMAGE ANNOTATION SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, l: { keywords: [ 'labeling', 'labelling', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, pbp: { keywords: [ 'previous blog posts', 'previous blog post', 'latest', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, mlc: { keywords: [ 'machine learning course', 'machine learning class', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, }; //Articles to skip let articleIdsToSkip = ['post-2651', 'post-3414', 'post-3540']; //keyword with its related achortag is recieved here along with article id function searchAndReplace(keyword, anchorTag, articleId) { //selects the h3 h4 and p tags that are inside of the article let content = document.querySelector(`#${articleId} .entry-content`); //replaces the "linktext" in achor tag with the keyword that will be searched and replaced let newLink = anchorTag.replace('linktext', keyword); //regular expression to search keyword var re = new RegExp('(' + keyword + ')', 'g'); //this replaces the keywords in h3 h4 and p tags content with achor tag content.innerHTML = content.innerHTML.replace(re, newLink); } function articleFilter(keyword, anchorTag) { //gets all the articles var articles = document.querySelectorAll('article'); //if its zero or less then there are no articles if (articles.length > 0) { for (let x = 0; x < articles.length; x++) { //articles to skip is an array in which there are ids of articles which should not get effected //if the current article's id is also in that array then do not call search and replace with its data if (!articleIdsToSkip.includes(articles[x].id)) { //search and replace is called on articles which should get effected searchAndReplace(keyword, anchorTag, articles[x].id, key); 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mlclinks = document.querySelectorAll(`#${c.id} .entry-content a.mlc-link`); llinks = document.querySelectorAll(`#${c.id} .entry-content a.l-link`); pbplinks = document.querySelectorAll(`#${c.id} .entry-content a.pbp-link`); //sending the anchor tags list of each article one by one to remove extra anchor tags removeLinks(dslinks); removeLinks(mllinks); removeLinks(ailinks); removeLinks(nllinks); removeLinks(deslinks); removeLinks(tdlinks); removeLinks(iaslinks); removeLinks(mlclinks); removeLinks(llinks); removeLinks(pbplinks); } }); } //To remove extra achor tags of each category (ds, ml, ai) and only have 2 of each category per article cleanLinks(); */ //Recommended Articles var ctaLinks = [ /* ' ' + '

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