Applications & models - Page 17#
Explore the latest blogs about applications and models in the ROCm ecosystem, including machine learning frameworks, AI models, and application case studies.
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.
Unveiling performance insights with PyTorch Profiler on an AMD GPU
Unveiling Performance Insights with PyTorch Profiler on an AMD GPU
Panoptic segmentation and instance segmentation with Detectron2 on AMD GPUs
Object Detection and Image Segmentation with Detectron2 on AMD GPU
Accelerating Large Language Models with Flash Attention on AMD GPUs
Accelerating Large Language Models with Flash Attention on AMD GPUs