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.

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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!

https://ryzenai.docs.amd.com/en/latest/inst.html#install-npu-drivers AMD just released Ryzen™ AI software 1.2 for developers and ISVs!  Ryzen AI software aims to offer a cohesive environment for developers and ISVs to build AI-enhanced applications while maximizing the performance benefits of the underlying Ryzen AI APU hardware architecture (CPU, iGPU, NPU).   Ryzen AI software continues to champion the open-source community by delivering compatibility with top industry frameworks giving developers freedom to deploy AI inference applications on AMD Ryzen AI powered PCs. The Ryzen AI 1.2 software release highlights new capabilities including additional hardware and model support and new ease of use developer tools. Let's dive into the new features! 

The journey to fully integrating generative AI technology has been filled with challenges. That's where AMD is stepping in and offering powerful solutions to help businesses unlock the potential of generative AI. 

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.