Turn any YouTube video into a summary, quiz, & flashcards
YouTube is the greatest learning resource in the world. Yet it doesn't provide any tools to help you learn from videos. I built a simple app that turns YouTube videos into structured learning material using AI. It generates a summary, quiz and flashcards from video content, meaning you can learn from anything (well, at least any YouTube video). Try it out. Would be happy to keep building features based on feedback!
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- AYA YouTube videos course generator2024 · coursely.ai · ▲56
An exciting aspect of what I'm working on is that users can create their own playlists. For example, you can provide an outline of what you're learning, such as notes from your professor or any other structure, and the pipeline will create a course tailored to that. Since the content is highly customized, it will be relevant and high-quality, matching current lessons or lectures in school or university. Initially, the pipeline also generated some teaching content using AI, but due to the risk of AI hallucinations, I'm planning to pivot away from that. The new focus will be on curating…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, October 2024
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Work · 2024 · generalcollaboration.com