nkaz123

5 ms·

1.
by nkaz123 8mo ago
Yeah essentially this. The irony of about wanting to obscure information by submitting it to a model API isn't lost on me, but it was the easiest way I could think of. Wanted some way of making the most key content in my picture to be
2.
by nkaz123 8mo ago
I accepted the bugginess in the browser game as unavoidable, and probably had too much faith in the LLM implementations, but I did a bit more troubleshooting than mentioned. The progressive improvement over episodes (and intuitively that PP
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by nkaz123 8mo ago
I recently updated my .github.io to route to a domain name I purchased so that could be why it's getting blocked right now. This comment alone has more tamagotchi lore than my post as a disclaimer in case I saved you a read haha.
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by nkaz123 8mo ago
I'm sorry for the clickbait
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My Tamagotchi is an RL agent playing Slither.io(nkasmanoff.github.io)
38 points by nkaz123 8mo ago|18 comments
6.
Cursor's Tab Model Was Failing Me in Jupyter Notebooks – So I Made My Own(nkasmanoff.github.io)
3 points by nkaz123 1y ago|0 comments
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ChronJob: Automate tasks by having someone from the future come back and do it(chron-job.vercel.app)
1 points by nkaz123 1y ago|1 comments
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by nkaz123 1y ago
Inspired by Bill and Ted’s Excellent Adventure ( https://www.youtube.com/watch?v=GiynF8NQzgo ), I created an alternative to AI agents where to do a task, simply provide a future worker with some details like description, time
9.
by nkaz123 2y ago
There are two models at use here, whisper tiny for transcribing audio, and then llama 3 for responding. Whisper tiny is multi lingual (though I am using the english specific variant) and I believe llama 3 is technically capable of multi-lin
10.
by nkaz123 2y ago
I'm really inspired reading this and hope it can help! I'm planning to put more work into this. I have a few rough demos of it in action on youtube ( https://www.youtube.com/watch?v=OryGVbh5JZE ) which should give y
11.
by nkaz123 2y ago
I think so. I plan to update the README in the coming days with more info, but realistically this is something you could run on your laptop too, barring some changes to how it accesses the microphone and camera. I assume this is the case to
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by nkaz123 2y ago
I watched the demo, to be honest if I saw it sooner I probably would have tried to start this as a fork from there. Any idea what the issue was?
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by nkaz123 2y ago
Fully depends on the model, how much conversational context you provide, but if you keep things to a bare minimum, ~< 5 seconds from message received to starting the response using Llama 3 8B. I'm also using a vision language model,
14.
by nkaz123 2y ago
The wake word detection is an interesting problem here. As you can see in the repo, I have a lot of mis-heard versions of the wake word in place, in this case being "Raspberry". Since the system heats up fast you need a fan, and w
15.
by nkaz123 2y ago
Yes! I'm currently using https://espeak.sourceforge.net/ , so it isn't especially fun to listen to though. Additionally, since I'm streaming the LLM response, it won't take long to get your reply. Since i
16.
Show HN: Pi-C.A.R.D, a Raspberry Pi Voice Assistant(github.com)
344 points by nkaz123 2y ago|92 comments
17.
by nkaz123 3y ago
Location: NYC Remote: Open to it Willing to relocate: Open to it Technologies: Python, PostgreSQL, JavaScript, PyTorch, React, Pandas, AWS/GCP, Docker, etc. Resume: https://drive.google.com/file/d/1DkaFCQA37sc