Build high-performance ML models using PyTorch 2.0 on AWS – Part 1

Build machine learning-ready datasets from the Amazon SageMaker offline Feature Store using the Amazon SageMaker Python SDK

Amazon SageMaker Automatic Model Tuning now automatically chooses tuning configurations to improve usability and cost efficiency

Train a Large Language Model on a single Amazon SageMaker GPU with Hugging Face and LoRA

Announcing the launch of new Hugging Face LLM Inference containers on Amazon SageMaker

Implement a multi-object tracking solution on a custom dataset with Amazon SageMaker

Host ML models on Amazon SageMaker using Triton: CV model with PyTorch backend

Configure and use defaults for Amazon SageMaker resources with the SageMaker Python SDK

Accelerate your learning towards AWS Certification exams with automated quiz generation using Amazon SageMaker foundations models

Amazon SageMaker XGBoost now offers fully distributed GPU training