{"id":3463,"date":"2023-07-14T18:57:52","date_gmt":"2023-07-14T18:57:52","guid":{"rendered":"https:\/\/eufad.com\/?p=3463"},"modified":"2024-01-04T16:07:17","modified_gmt":"2024-01-04T16:07:17","slug":"google-teases-project-tailwind-a-prototype-ai-notebook-that-learns-from-your-documents","status":"publish","type":"post","link":"https:\/\/eufad.com\/?p=3463","title":{"rendered":"Google teases Project Tailwind \u2014\u00a0a prototype AI notebook that learns from your documents"},"content":{"rendered":"

Google has announced a lot<\/em> of AI projects at its I\/O conference this year, but the one that has me most excited is just a prototype: Project Tailwind. <\/p>\n

Essentially, it\u2019s an AI notebook trained on your documents that you can query like a sort of personalized tutor or writing companion. Google framed it as a tool for students, but it could have a lot more potential for anyone who deals with a lot of text in their life.<\/p>\n

\u201cLike a real notebook, your notes and your sources power Tailwind,\u201d said Josh Woodward, a senior director of product management at Google. \u201cHow it works is you can simply pick the files from Google Drive, and it effectively creates a personalized and private AI model that has expertise in the information you give it. We\u2019ve been developing this idea with authors like Steven Johnson and testing it at universities.\u201d<\/p>\n

In an example demo Woodward showed onstage, Tailwind was fed a bunch of study notes and then picked out a number of details, including key topics and suggested questions. A text box allowed Woodward to dig down into this information, creating a glossary of terms for a specific topic, for example. <\/p>\n

It\u2019s not clear if Google has any ambition to launch Project Tailwind at this point (the company described it as a \u201cprototype\u201d that had been \u201cput together over the last few weeks\u201d using the company\u2019s new PaLM 2 API), but the concept is incredibly attractive.<\/p>\n

As Woodward said, \u201cWe realized it\u2019s not just for students. It\u2019s helpful for anyone synthesizing information from many different sources that you choose. Like writers researching an article, or analysts going through earnings calls, or even lawyers going through a case. Imagine collaborating with an AI that\u2019s grounded in what you\u2019ve read and all your notes.\u201d <\/p>\n

It\u2019s worth noting that this is a line of inquiry that many companies are pursuing at the moment. After all, AI language models can already be fine-tuned to deal with certain types of data, so why not fine-tune them on the user\u2019s<\/em> data? Note-taking app Notion is already pursuing this idea, while the open-source AI scene is full of developers fine-tuning leaked language models on the contents of their Google Drive. <\/p>\n

There are some big potential challenges, of course. One is compute demands. Language models are expensive to train and fine-tune \u2014 who pays the bill for Project Tailwind? The other is reliability. These systems are notorious for making up information. There\u2019s no guarantee they won\u2019t do the same even if they\u2019re just constrained to personal notes.<\/p>\n

At any rate, it\u2019s worth investigating. Google says you can sign up to test Project Tailwind as part of its new AI Labs program. We\u2019ll be taking notes. <\/p>\n","protected":false},"excerpt":{"rendered":"

Google has announced a lot of AI projects at its I\/O conference this year, but the one that has me most excited is just a prototype: Project Tailwind. Essentially, it\u2019s an AI notebook trained on your documents that you can query like a sort of personalized tutor or writing companion. Google framed it as a […]<\/p>\n","protected":false},"author":1,"featured_media":3465,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[93,95,96,81,84,87,90],"class_list":{"0":"post-3463","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-google-fiber","8":"tag-android-phone-guide","9":"tag-android-phone-news","10":"tag-android-phone-reviews","11":"tag-google","12":"tag-google-guide","13":"tag-google-news","14":"tag-google-reviewsandroid-phone"},"_links":{"self":[{"href":"https:\/\/eufad.com\/index.php?rest_route=\/wp\/v2\/posts\/3463","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eufad.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eufad.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eufad.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eufad.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3463"}],"version-history":[{"count":1,"href":"https:\/\/eufad.com\/index.php?rest_route=\/wp\/v2\/posts\/3463\/revisions"}],"predecessor-version":[{"id":5083,"href":"https:\/\/eufad.com\/index.php?rest_route=\/wp\/v2\/posts\/3463\/revisions\/5083"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/eufad.com\/index.php?rest_route=\/wp\/v2\/media\/3465"}],"wp:attachment":[{"href":"https:\/\/eufad.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3463"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eufad.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3463"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eufad.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3463"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}