Hugging Face·3yAI for Game Development: Creating a Farming Game in 5 Days. Part 1
AI for Game Development: Creating a Farming Game in 5 Days. In this series, we'll be using AI tools to create a fully functional farming game in just 5 days. By the end of the series, you will have learned how you can incorporate a variety of AI tools into your game development workflow.
Community Picks·2yWebGPU: Unlocking modern GPU access in the browser
WebGPU is a new API that unlocks the power of the GPU for faster machine learning performance and better graphics rendering. It is an improvement over WebGL and enables new GPU workloads for rendering and faster ML inference. It was designed for JavaScript first and is easy to learn and use.
freeCodeCamp·3yHow to Build a Large Language Model from Scratch Using Python
Learn how to create your own large language model from scratch using Python. Elliot Arledge created this course to teach you about the data handling, mathematical concepts, and transformer architectures that power these linguistic juggernauts. You will learn about train and validation splits, the bigram model, and the critical concept of inputs and targets.
Hacker News·3yTabbyML/tabby: Self-hosted AI coding assistant
TabbyML/tabby is an opensource / on-prem alternative to GitHub Copilot. Tabby is still in the alpha phase, with no need for a DBMS or cloud service. The easiest way of getting started is using the docker image: # Create data dir and grant owner to 1000 (Tabby run as uid 1000 in container).
Hacker News·3yApple unveils M3, M3 Pro, and M3 Max, the most advanced chips for a personal computer
Apple has unveiled the M3, M3 Pro, and M3 Max chips, which are the most advanced chips for a personal computer. These chips feature groundbreaking technologies, such as a next-generation GPU architecture, faster CPU and Neural Engine, and support for more unified memory. They deliver dramatic performance improvements and unleash new capabilities for Mac devices. The M3 family of chips represents a significant advancement in Apple silicon, with features like Dynamic Caching, hardware-accelerated ray tracing, and mesh shading. The CPU in the M3 family is faster and more efficient than the previous generation, and it supports up to 128GB of unified memory. The chips also have custom engines for AI and video processing, making them ideal for intensive tasks. Overall, the M3, M3 Pro, and M3 Max chips are designed to provide phenomenal performance and power efficiency for the most demanding pro workloads.
DZone·3ytaichi.js: Painless WebGPU Programming
The Game The Game of Life is a classic example of a cellular automaton, a system of cells that evolve over time. It was invented by the mathematician John Conway in 1970 and has since become a favorite of computer scientists and mathematicians alike. The full source code of the demo can be found here.
Chrome Developers·3yWhat's New in WebGPU (Chrome 115)
Supported WGSL language extensions are automatically enabled, so you don’t need to explicitly request one. The Chromium team is working on adding WebGPU support for Direct3D 11. You can now experiment with it locally by running Chrome on Windows with the command-line flags.
Community Picks·3yHow to Use Hashcat for Password Cracking: A Hacking Guide
Hashcat is a popular open-source software for cracking passwords. It takes advantage of hardware acceleration from the GPU, which can perform computational tasks more efficiently than a general-purpose CPU. It can test up to millions of password combinations per second during a brute force attack, greatly beyond the capacity of a CPU.
Hacker News·3yReplacing my best friends with an LLM trained on 500,000 group chat messages
A model trained on 500,000 group chat messages tl;dr: I trained an uncensored large language model on the college-era group chat that me and my best friends still use. The dataset for this project is, of course, my Group Chat, which has remained active over the past 7 years.
freeCodeCamp·3yHow to Setup a Windows Machine for Machine Learning/Deep Learning Using an Nvidia Graphics Card (CUDA)
How to set up a Windows Machine for Machine Learning/Deep Learning using an Nvidia Graphics Card (CUDA) If you can afford a good Nvidia graphics card, then you can easily use your graphics card for this type of intensive work. A lot of developers use Linux for this, but I do not like Linux as a desktop operating system.
