Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Spread the love“`html Raspberry Pi has revolutionized the way we think about computers, making it possible for anyone to dive into the world of programming and electronics. If you’re looking to set up ...

As adults, it is our duty to follow traffic rules, and the most important rule is to wear a helmet while riding a two-wheeler and not to cross the speed limit. It's not a rule, but it's also for ...

Equipped with a quad-core CPU and up to 8GB or 16GB RAM, it can handle computer vision workloads using OpenCV, TensorFlow Lite, or lightweight YOLO models. For applications that demand higher speed ...

What if you could transform a Raspberry Pi into a multilingual voice assistant capable of delivering weather updates, recommending restaurants, and seamlessly switching languages? In this overview, ...

For over a decade, the Raspberry Pi has been the go-to for a variety of creative projects, as it allows you to get started from a blank canvas. It costs about as much as a night out, yet it's powerful ...

As of TensorFlow 1.9, Python wheels for TensorFlow are being officially supported. As such, this repository is no longer recommended for your TensorFlow on RPi needs; use the official sources! It was ...

The worlds of artificial intelligence and robotics are no longer separate domains; AI for robotics is already here, and it’s shaping our future. From autonomous drones navigating complex environments ...

Over the last decade, the open-source movement has not only transformed the world of software, but also catalyzed a sweeping revolution in hardware tinkering. At the heart of this shift lies a ...

Methods from Machine Learning (ML) and Computer Vision (CV) have proven powerful tools for quickly and accurately analyzing behavioral recordings. The computational complexity of these techniques, ...