edge-ai

A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.

Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.

Build a Raspberry Pi wildlife camera step by step — from Python image capture and motion detection to edge AI.

An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.

Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.

Private on-device AI chat for Android — runs any GGUF model locally via llama.cpp with ARM-optimised SIMD. Zero network permissions, encrypted settings, biometric lock, tamper detection. + GPU Acceleration

TUI academia: math → Edge AI. Neovim keys. Rank Edge Mage se merece.