The article describes how the author used Amazon Q Developer to write code for a virtual Commodore 64, starting with a simple BASIC program and then converting it to 6502 assembler for improved performance. The author also shares resources and tips for working with retro computing.
Analyzing Hacker News posts and comments using LLMs to understand community sentiment and trending topics.
Exploring physical interface design for LLMs, with projects like AIncense and TinyChat Computer, empowering users through tangible experiences.
A website for the Seeed Watcher, a physical AI agent for space management, with features like product catalog, ecosystem, support, and company information.
An optional component to enable AI features in iTerm2, providing network request functionality, ensuring secure data transmission.
Learn how to create a low-cost, AI-powered personal assistant using Raspberry Pi and open-source software. The assistant can answer questions, play music, and control smart home devices.
Large Language Model Single Board Computers and AI Sensors with Tutorials and Applications - DFRobotIn the development of artificial intelligence, the application of Large Language Model (LLM) Single Board Computers (SBC) and AI sensors is becoming increasingly widespread. This article will detail the performance tests and tutorials of high-performance SBCs such as the NVIDIA Jetson AGX Orin 64GB Developer Kit, Raspberry Pi, LattePanda Alpha / Delta / Sigma Single Board Computers and explore how to deploy and run various LLMs on these platforms. In addition, we will introduce some easy-to-use AI cameras and voice recognition sensors, as well as their applications in innovative projects.
Use large language models embedded in single-file executables from the command line to perform tasks like renaming images based on their visual content
