My ⛷️ asky app is now in Beta! ⛷️ asky is a macOS app that lets you interact with any text you see on the screen using the power of Large Language Models (LLMs). I've found it useful to stay in the "flow" and here's why:
🔴 Currently, every time you have a question about some text, you have to copy it, go to your browser, open a new tab, go to ChatGPT or Claude websites, paste the text, ask your question, and finally get the AI's response.
🟢 ⛷️ asky removes all the middle-men in the process: in any app you just select the text, press a shortcut, ask your question, and get the AI's answer right there and then! No more distraction.
https://www.youtube.com/watch?v=15yt0XB1h14
I’m one of the contributors to https://github.com/ggerganov/llama.cpp, the most popular open-source LLM engine in the world (+48k ⭐ on Github). It’s the software that powers several LLM apps such as https://github.com/oobabooga/text-generation-webui, https://github.com/jmorganca/ollama, and https://github.com/Mozilla-Ocho/llamafile.
During my research, I needed a way to interact with llama.cpp through Python, so I made one! Check it out here:
https://github.com/ibehnam/callama
Developed an LLM-powered web-app to help students learn course concepts in an interactive way. This project was part of Prof. Anita Woolley’s course. We found out that using this app, students performed better in implementing course concepts in a real-world scenario, compared to using traditional case studies.
Inspired by OpenAI’s ad, I made a simple app that allows you to apply various halftone filters to any image. It runs completely in the browser so no data is ever sent back to the server. Hope you enjoy it!