Developer Runs Small Language Model on $8 ESP32-S3 Microcontroller

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A developer has trained and deployed a small language model (SLM) on an ESP32-S3 microcontroller, a chip that costs roughly $8. The project, named Qapla, is publicly available on GitHub and has drawn attention on Hacker News. The ESP32-S3 is a low-cost embedded microcontroller typically used in IoT devices, making this an unusually resource-constrained environment for running AI language models. The project highlights growing interest in running lightweight AI inference on edge hardware without relying on cloud computing. Details on model architecture and performance remain limited in the available source material.

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