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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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Simple-kNN-Gzip
A simplistic linear and multiprocessed approach to sentiment analysis using Gzip Normalized Compression Distances with k nearest neighbors
It's somewhat trivial to make a script to turn these into sentence structures, given the type is simple enough:
"IUserProfile contains: name which is a string; age which is a number; .... IUserProfiles contains: users which is an array of IUserProfile" and so on.
Passing this into the compression prompt was much more effective, and I ended up with a compressed version of my type system [3].
Regardless of the variability of the exercise, I can definitely say the prompt was able to generate some sensible components which more or less correctly implemented my type system when asked to, with some massaging. Not scalable, but interesting.
[1] https://www.reddit.com/r/ChatGPT/comments/12cvx9l/compressio...
[2] https://github.com/jcmccormick/wc/blob/c222aa577038fb55156b4...
[3] https://github.com/keybittech/wizapp/blob/f75e12dc3cc2da3a41...
It's somewhat trivial to make a script to turn these into sentence structures, given the type is simple enough:
"IUserProfile contains: name which is a string; age which is a number; .... IUserProfiles contains: users which is an array of IUserProfile" and so on.
Passing this into the compression prompt was much more effective, and I ended up with a compressed version of my type system [3].
Regardless of the variability of the exercise, I can definitely say the prompt was able to generate some sensible components which more or less correctly implemented my type system when asked to, with some massaging. Not scalable, but interesting.
[1] https://www.reddit.com/r/ChatGPT/comments/12cvx9l/compressio...
[2] https://github.com/jcmccormick/wc/blob/c222aa577038fb55156b4...
[3] https://github.com/keybittech/wizapp/blob/f75e12dc3cc2da3a41...
A few days ago I explored adding beam search and other features to the Gzip Language Model: https://github.com/thomasahle/ziplm/
Turns out you can get a lot better text out of these simple models of you add some basic LLM features.
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