The Complete Prompt Engineering Bible
Master AI prompts: 303 pages, 500+ prompts, 7 frameworks
What it does
The difference between a useless AI response and a professional-grade output isn't the model — it's your prompt. This 303-page guide teaches you exactly how to communicate with AI to get 10x better results, every single time. You'll understand WHY prompts work, HOW to diagnose failures, and how to build reusable prompt systems that save hours every week. This isn't a cheat sheet — it's a complete education. By the end, you'll be in the top 1% of AI users worldwide.
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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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