A high-performance unique name generator based on Markov Chains
Used Gemini and ChatGPT for code completion.
A high-performance unique name generator based on Markov Chains
Used Gemini and ChatGPT for code completion.
I built a unique name generator in Rust. It can generate quite amazing names sometimes but sometimes it might not generate good names(just adjust the model’s creativity at these times and you may generate amazing names again).
The hardest part was thinking about which dataset to use (though I think the hardest part is always getting thinks working).
At last I am proud that this generator may influence some names of my next projects, or while I am giving names to other things.
Lots of work was done.
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Published ungai to github.
Now you can install it on your machine with the command below, provided that you have cargo installed on your system
cargo install ungai
Now I need to work on the cli and add a way for users to generate names with a pre-trained model and also be able to provide their own dataset.
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A lot of things happened during this iteration. Some of them are -
Now I am working to publish this as a cli tool and also implementing 3rd Order Markov Chain.
(In the following video, you can see it has repeated some names, I am working to fix that.)
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Made a working Markov Chain that can generate simple(actually weird names) on a given set of names.
This was just basic implementation of Markov Chain, right now it can’t generate convincing or realistic names.
(I have two same videos, one was too short and I don’t know how to remove that so added one more.)
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