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.

We have previously written about various industrial Raspberry Pi systems and gateways that come with RS-485 built in, but we had yet to cover a dedicated RS-485 Raspberry Pi HAT. To fill this gap, ...

So, you’ve got to work with an API, and the documentation looks like a foreign language textbook written by a robot? Yeah, I’ve been there. It’s like trying to assemble flat-pack furniture with ...

We all use LLMs daily. Most of us use them at work. Many of us use them heavily. People in tech — yes, you — use LLMs at twice the rate of the general population. Many of us spend more than a full day ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Ryan Knutson: Do you guys want to start out by introducing yourselves? Ben Cohen: ...

Get real code snippets from your codebase that demonstrate how patterns are implemented. Essential for AI agents to generate code that matches your conventions. Instead of generic examples, drift_code ...

Cowork can also use the data in that folder to create new projects -- but it's still in early access, so be cautious. Imad was a senior reporter covering Google and internet culture. Hailing from ...

Recently, [Edward Schmitz] wrote in to let us know about his Hackaday.io project: SigCore UC: An Open-Source Universal I/O Controller With Relays, Analog I/O, and Modbus for the Raspberry Pi. In the ...

Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...

Amazon Web Services has announced a new class of AI systems," frontier agents," that can work autonomously for hours, even days, without human intervention, representing one of the most ambitious ...