AI - Applications & Models - Page 15#
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
Step-by-Step Guide to Use OpenLLM on AMD GPUs
OpenLLM is an open-source platform for deploying large language models, enabling cloud or on-premises use. In this blog we focus on using OpenLLM to start an LLM server leveraging the capabilities of AMD GPUs
Training a Neural Collaborative Filtering (NCF) Recommender on an AMD GPU
Training a Neural Collaborative Filtering (NCF) Recommender on an AMD GPU
Multimodal (Visual and Language) understanding with LLaVA-NeXT
Multimodal instruction-following data with LLaVA-NeXT on AMD GPU
Unlocking Vision-Text Dual-Encoding: Multi-GPU Training of a CLIP-Like Model
Unlocking Vision-Text Dual-Encoding: Multi-GPU Training of a CLIP-Like Model