Deepnote’s Post

With Gorilla, you can make use of the insights from Macke et al. (2024) 'Untapped Potential: Designed Digital Trace Data in Online Survey Experiments' using our suite of integrated tools to gather the richest data sets - no coding required! 👏 🦍 Article ⬇️🤓 https://bit.ly/3AwSEPt

"TLDR: This blog covers a discussion on processing and evaluating data quality at scale, the 🍷 FineWeb recipe (listing and explaining all of our design choices), and the process followed to create its 📚 FineWeb-Edu subset."

We want Knock to feel like an extension of your own system, not something you bought and bolted on. That means spending some time upfront thinking about how your app's data model maps into Knock, so we created a new guide to help you answer some of those questions. If you're a diagram nerd like I am, check out some of the 🔥 diagrams Krisna Sorathia worked up for this resource. You'll see more diagrams like this coming to the rest of the docs soon 🤓 Link to the guide in the first comment 👇

For knowledge workers suffering from information overload, we can use machine learning to get them the answers they need—without them having to remember exactly how a piece of information was worded, or where it might be contained within a file. Read more about how we’ve done with file previews on the web on the Dropbox tech blog!

For knowledge workers suffering from information overload, we can use machine learning to get them the answers they need—without them having to remember exactly how a piece of information was worded, or where it might be contained within a file. Read more about how we’ve done with file previews on the web on the Dropbox tech blog!

For knowledge workers suffering from information overload, we can use machine learning to get them the answers they need—without them having to remember exactly how a piece of information was worded, or where it might be contained within a file. Read more about how we’ve done with file previews on the web on the Dropbox tech blog!

For knowledge workers suffering from information overload, we can use machine learning to get them the answers they need—without them having to remember exactly how a piece of information was worded, or where it might be contained within a file. Read more about how we’ve done with file previews on the web on the Dropbox tech blog!

For knowledge workers suffering from information overload, we can use machine learning to get them the answers they need—without them having to remember exactly how a piece of information was worded, or where it might be contained within a file. Read more about how we’ve done with file previews on the web on the Dropbox tech blog!

For knowledge workers suffering from information overload, we can use machine learning to get them the answers they need—without them having to remember exactly how a piece of information was worded, or where it might be contained within a file. Read more about how we’ve done with file previews on the web on the Dropbox tech blog!

For knowledge workers suffering from information overload, we can use machine learning to get them the answers they need—without them having to remember exactly how a piece of information was worded, or where it might be contained within a file. Read more about how we’ve done with file previews on the web on the Dropbox tech blog!