Personal AI-Mentor
Ask an AI mentor any question and get tutorials adapted to your knowledge and goals. Each question updates your skills, shows the best career match and knowledge you miss. The more questions you ask — the more evident skill gaps.
In plain words
Personal AI-Mentor is an AI-powered tutoring platform that answers user questions and provides customized tutorials based on their current knowledge level and objectives. The system tracks skill development through each interaction, identifies knowledge gaps, and suggests career paths aligned with the user's emerging abilities. It's designed for learners who want personalized guidance and a clearer picture of their strengths and areas for improvement.
written from the facts on this page · September 2026
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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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