An SLM trained on an affordable ESP32-S3 microcontroller

A compact small language model has been developed and trained. The project utilizes an accessible ESP32-S3 microcontroller. The hardware component costs approximately eight dollars. Further technical details and source code are hosted online. The repository is available on GitHub under the provided link. Developers can inspect the implementation and configuration files. The project showcases machine learning capabilities on tiny devices. More information can be found directly in the repository source.