
Product Prediction
I asked GPT-3 to guess what the top makers will build next
What it does
I love generating ideas with GPT-3 and I had an idea to feed it with products created by the top (and my favorite) makers and then I told it to predict what their next projects will be. I thought the results were interesting!
Does the same job
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AI-powered YouTube Idea Generator2022 · ▲174GPT3 model trained with the top trending YouTube video data



- GQGenerate quiz questions using AI2022 · quizgecko.com · ▲161
One of the coolest things I've been able to get GPT-3 to do is generate questions based on a piece of text. So, I built a simple site to help others do the same. Hopefully, this can be useful to teachers, trainers, or just anyone who wants to create a fun and unique quiz.

More ai this month
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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…
AI · 26d ago · cactuscompute.com


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