Freelancers using Hugging Face in Oregon
Freelancers using Hugging Face in Oregon
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Guy G
Oregon, USA
40+ years programming experience including recent AI and ML.
New to Contra
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40+ years programming experience including recent AI and ML.
15
A few months ago I made a software device for tinkering with LLMs. It only works with older/smaller models and won't load gguf yet but it's got a decent visualizer and a few other items like being able to invert/modify anything from a single weight to entire layers or blocks of weights. It was working fine a few months ago when I moved on so I thought it might be useful to other people playing with LLMs. Hopefully it will also get a little love from the Github community to improve it further. https://github.com/TheOneTrueGuy/0LLM_Tinkerer
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Lots of projects in the works! Too many really. Opus 4.5 has jammed my design episodes into hyper mode. I'm glad I heard Andrew Ng talk about the exhaustion after a day of working with agentic code helpers. That showed up months ago and I still didn't recognize. Now, having to hold so much in my mind at once while it is also growing at a recognizable pace is noticeably stressful. Here is my latest build, a useful agency for questions at high accuracy with 9 different agents available to work in tandem. Special thanks to my friend Enigma Specter who provided the original backend mechanisms. I salvaged his design with a nice web UI and added a web Researcher agent: https://guyzer.pythonanywhere.com/mrce/ You will need to register but it's just an email username and password, no verification loop yet. And you'll need an API key.
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Cyclical Adversarial Stepwise Improvement CASI: Live Demo We talk frequently about AI self-correction but few projects provide a robust architectural loop for it. CASI formalizes the process of non-linear refinement: The Generator proposes a solution or concept. The Critic applies structural pressure and targeted feedback. The system cycles automatically until Structural Coherence is reached. You can now test the CASI engine live and see how an autonomous refinement process delivers structurally superior output: Try the CASI web app here: https://guyzer.pythonanywhere.com/casi/
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Further investigations of the Biology Latent Space.
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