Applications & models - Page 13#
Explore the latest blogs about applications and models in the ROCm ecosystem, including machine learning frameworks, AI models, and application case studies.
Inferencing with Grok-1 on AMD GPUs
We demonstrate that the massive Grok-1 Model from xAI can run seamlessly on the AMD MI300X GPU accelerator by leveraging the ROCm software platform.
Optimizing RoBERTa: Fine-Tuning with Mixed Precision on AMD
In this blog we explore how to fine-tune the Robustly Optimized BERT Pretraining Approach RoBERTa large language model, with emphasis on PyTorch's mixed precision capabilities. Specifically, we explore using AMD GPUs for mixed precision fine-tuning to achieve faster model training without any major impacts on accuracy.
Using statistical methods to reliably compare algorithm performance in large generative AI models with JAX Profiler on AMD GPUs
Using Statistical Methods to Reliably Compare Algorithm Performance in Large Generative AI Models with JAX Profiler on AMD GPUs
Accelerate PyTorch Models using torch.compile on AMD GPUs with ROCm
Accelerate PyTorch Models using torch.compile on AMD GPUs with ROCm
Accelerating models on ROCm using PyTorch TunableOp
Accelerating models on ROCm using PyTorch TunableOp
A Guide to Implementing and Training Generative Pre-trained Transformers (GPT) in JAX on AMD GPUs
A Guide to Implementing and Training Generative Pre-trained Transformers (GPT) in JAX on AMD GPUs
Deep Learning Recommendation Models on AMD GPUs
Deep Learning Recommendation Model on AMD GPU
Fine-tuning and Testing Cutting-Edge Speech Models using ROCm on AMD GPUs
This blog post demonstrates how to fine-tune and test three state-of-the-art machine learning Automatic Speech Recognition (ASR) models, running on AMD GPUs using ROCm.