AMD has just released the latest version of its open compute software, AMD ROCm™ 6.2.3 which supports Radeon GPUs on native Ubuntu® Linux® systems. 

Fine-tuning a large language model (LLM) is the process of increasing a model's performance for a specific task. This blog will introduce you methods and benefits on fine-tuning Llama model on AMD Radeon GPUs.

Running large language models (LLMs) locally on AMD systems has become more accessible, thanks to Ollama. This guide will focus on the latest Llama 3.2 model, published by Meta on Sep 25th 2024, Meta's Llama 3.2 goes small and multimodal with 1B, 3B, 11B and 90B models. Here’s how you can run these models on various AMD hardware configurations and a step-by-step installation guide for Ollama on both Linux and Windows Operating Systems on Radeon GPUs. 

Learn how open-source LLMs and AMD Radeon™ PRO GPUs can help small enterprises adopt AI

Amuse 2.1 Beta is now available for Ryzen™ AI and Radeon™ GPU users and brings with it a whole host of new models and bug fixes!

Quick and easy guide on how to get a powerful, completely offline, AI assistant that works on both AMD Ryzen™ AI processors and Radeon™ graphics cards.

Starting your AI image generation journey on an AMD AI PC is now easier than ever before. Here is how to run the latest and greatest Stable Diffusion models on AMD Ryzen(TM) AI processors and Radeon discrete graphics cards. 

The PyTorch deep-learning framework is a foundational technology for machine learning and artificial intelligence. Discover our perspective on the evolution of this enormously successful open-source project and learn about some of the factors behind the unprecedented success of PyTorch.  

A simple step by step guide walking through the process of setting up the latest AMD ROCm^tm Software within a Windows environment 

Discover AMD AI solutions with day-0 support for Meta's Llama 3.1, delivering efficiency from cloud to edge