stardance has been extended another month! the new deadline is october 31 :)

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1h 16m 23s logged

guys, i just built a web page (html + css + tailwind) for DQM it’s still in localhost but I’m deploying it in a bit (be sure to visit “dqm.cyberslayercorpz.dev”!)

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1h 30m 56s logged

heyya! I just added more features and bug-fixes. wanna see? :D

Changelog (v2.1.0)

  • Added support for external brains (brains to be placed inside /brains directory)
  • Added standard metadata for every .tqm brain
  • Added more aliases
  • Improved the main.tqm brain
  • Added a brain selector (runs on startup)
  • Added a compatibility checker so newer brains don’t break inside an older engine
  • Added a licence checker (cuz why not)
  • Added a startup greeting function (not exactly but it greets you now)
  • Fixed a few syntax issues and bugs
    I think that’s it! I’m looking forward to making this drastically better and maybe add a webUI or create a webpage so we’ll see! :D
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1h 2m 24s logged

guys, i just fixed a few bugs now. wanna see what i did? :D

Changelog (v2.0.1):

  • Fixed punctuation engine in nodes.py
  • Added more aliases
  • Fixed a few things so each leaf has more than one response and use random.choice() to pick one
  • Expanded main.tqm drastically (that was done in the last commit itself but i didn’t write a devlog lol)
  • Resolved issue where if you were outside the project directory, the brain won’t load but now it will.
  • Added more attention to detail and now it shows you info about the brain, etc…
    I guess that’s it! :D
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46m 2s logged

guys so i just added a punctuation system that translates “who’s” to “who is” and so on and added a few responses to every tree so if you say “hi” first time it’ll give you a response and the next time, it’ll give you another response by importing random. I have also made the “brain” (main.tqm) HUGE with a LOT of data (the brain was written by gemini so shout out flash 3.8!) and that’s it for now!

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1h 30m logged

Sup folks! So this is the first devlog for this project. This is DQM otherwise known as Deterministic Query Model. So basically this is an old technique where you split a prompt into words and compare against a tree file (.tqm but it’s just a json file lol) and goes thru. E.g. “who is max verstappen” goes thru “who” > “is” > “max” > “verstappen” then finds the answer inside and tells you it. This is all hardcoded and you can change the stuff inside these so-called “brains”. This project is made in python (i’m a newbie and i’m learning along the way) and I used google gemini to write all the “brains” because it’s way too much work for my “potato brain” lol. So python was really sweet and looking forward to adding more features. Cya!

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