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A Vector Database Plays Mario Kart 64
- mtrofficus 2y agoThis is a funny project I made one evening: applying Image Search in Qdrant to play Mario Kart 64 using mupen64plus.
- djmips 2y agoAnd then put up an article on a site requiring a login.
- mtrofficus 2y ago“on a site” referring to Medium xD. Welcome to 2024.
- HanClinto 2y agoIf you don't want to login, perhaps use an archive site? https://archive.ph/jFNxS https://archive.ph/jFNxS
- djmips 2y agoThanks
- HanClinto 2y agoThis is not as ridiculous as it looks. Using an enterprise-scale vector search database might feel a bit... silly? Overkill? But this is actually a brilliant illustration and application of some very fundamental concepts in machine learning and AI applications. "Vectorization" is the key concept here -- turning ones' input data (whether images or sales or service records or whatever) into a numerical representation such that meaningfully similar input data is converted into numerically similar vectors. Once you do that, all that's left is to do a nearest neighbor search, process or filter a bit, and voila -- now you're using AI and ML to build collectible card scanners or recommendation systems or heck -- even self driving cars (which is essentially what has been built here). Overall this example is elegant in its simplicity, and useful in that it showcases that -- if you can turn your input data into a decent vector somehow, that the rest is pretty straightforward. I've built several ML-based systems for commercial applications, and they all used vectorization + vector search in almost the exact same way as what is described here. Fantastic illustration for communicating such a powerful idea that can be applied in so many different ways. Well done!!
- mtrofficus 2y agothanks!! glad you liked it :)