An SLM trained on $8 ESP32-S3

The Qapla' project demonstrates training a transformer model from scratch directly on an $8 ESP32-S3 microcontroller, challenging the assumption that AI training requires GPUs or datacenters. This approach enables on-device learning in environments without internet or pre-existing data, useful for edge AI applications like machinery monitoring or soil moisture prediction.