This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

Adam has a degree in Engineering, having always been fascinated by how tech works. Tech websites have saved him hours of tearing his hair out on countless occasions, and he enjoys the opportunity to ...

The Raspberry Pi 5 introduces a new era of offline artificial intelligence, combining advanced hardware and software to enable local AI systems that can both perceive and create. At the heart of this ...

QR codes are widely used in entry and exit systems for various events to monitor the number of participants and ensure that ...

This AI runs entirely local on a Raspberry Pi 5 (16GB) — wake-word, transcription, and LLM inference all on-device. Cute face UI + local AI: ideal for smart-home tasks that don't need split-second ...