Taking our ESP32 LLM from prototype to our badge: Q8_0 quantization, inline PIE assembly achieving 16 int8 MACs per cycle, three-phase training, and SAM robotic TTS. This is where the badge gets its voice.
Deep dive into running a Large Language Model on an ESP32-S3 microcontroller - exploring llama2.c, SIMD optimizations, and the challenges of streaming inference on embedded hardware.