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<a href="mailto:[email protected]">[email protected]</a> | ||
</div> | ||
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## AI Development | ||
---- | ||
### Large Language Model Applications | ||
#### Models and Libraries | ||
- HuggingFace transformers, pipelines | ||
- gradio | ||
- langchain | ||
- [llama.cpp](https://github.com/ggerganov/llama.cpp) using Stanford's `alpaca` and Nomic AI's `GPT4All` | ||
<div class="m-auto rounded-2xl bg-slate-200 text-center w-fit"> | ||
<p class="p-2 text-sm text-indigo-800 font-mono">Demo of a <a | ||
href="https://huggingface.co/spaces/ioanniskarkanias/chatbot-with-sources">Chatbot | ||
with Sources</a></p> | ||
</div> | ||
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### Generative text-to-image and image-to-image | ||
#### Models and Libraries | ||
- Stable Diffusion | ||
- [InvokeAI](https://github.com/invoke-ai/InvokeAI) | ||
- [automatic1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) | ||
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<div class="flex sm:flex-row sm:gap-5 sm:p-0 mx-6"> | ||
<div class="sm:w-[30%] w-[30%] m-auto rounded-full"> | ||
<img class="rounded-lg" | ||
src="{{site.baseurl}}/assets/img/vader-stable-diffusion/depositphotos_56832909-stock-photo-muscular-man-holding-ancient-sword.jpg"> | ||
</div> | ||
<div class="mx-2 my-auto rounded-full"> | ||
<span>⟶</span> | ||
</div> | ||
<div class="sm:w-[25%] w-[25%] m-auto rounded-full"> | ||
<img class="rounded-lg" src="{{site.baseurl}}/assets/img/vader-stable-diffusion/pose.png"> | ||
</div> | ||
<div class="mx-2 my-auto rounded-full"> | ||
<span>⟶</span> | ||
</div> | ||
<div class="sm:w-[25%] w-[25%] m-auto rounded-full"> | ||
<img class="rounded-lg" src="{{site.baseurl}}/assets/img/vader-stable-diffusion/vader-resolution-buttons.png"> | ||
</div> | ||
</div> | ||
<div class="m-auto rounded-2xl bg-slate-200 text-center w-fit"> | ||
<p class="p-2 text-sm text-indigo-800 font-mono">Check out this blog post: <a | ||
href="https://iokarkan.github.io/2023/04/07/stable-diffusion-control.html">Controlling generated images with | ||
Stable Diffusion</a></p> | ||
</div> | ||
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## Research | ||
---- | ||
### Applying multivariate methods in Experimental Particle Physics Analysis | ||
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