In recent years, the rapid development of artificial intelligence technology, especially the progress in large language models (LLMs), has garnered significant attention and discussion. From the emergence of ChatGPT to subsequent models like GPT-4 and Llama, these language models have demonstrated remarkable capabilities in natural language processing, generation, understanding and reasoning. Continuing AMD tradition of open-sourcing models and code to help the community advance together, we are excited to release our first series of fully open 1 billion parameter language models, AMD OLMo.

To dive deeper into the three stages of training, and AMD OLMo model results, please reference the full article here: Introducing the First AMD 1B Language Models: AMD OLMo

See how AMD Ryzen™ AI 300 series-based PCs compare to the competition in llama.cpp based applications like LM Studio. 

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.

In the ever-evolving landscape of artificial intelligence, large language models (LLMs) like GPT-4 and Llama have garnered significant attention for their impressive capabilities in natural language processing and generation. However, small language models (SLMs) are emerging as an essential counterpart in the AI model community offering a unique advantage for specific use cases.  AMD is excited to release its very first small language model, AMD-135M with Speculative Decoding.  This work demonstrates the commitment to an open approach to AI which will lead to more inclusive, ethical, and innovative technological progress, helping ensure that its benefits are more widely shared, and its challenges more collaboratively addressed. 

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. 

AMD is advancing generative AI innovation in collaboration with Meta, and its latest Llama 3.2 release, helping ensure developers are well-equipped to handle each new release seamlessly with Day-0 support across our broad AI portfolio.

Announcing the upcoming availability of Microsoft Copilot+ PC with the AMD Ryzen™ AI 300 series processor.

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!