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

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

Scale your machine learning workloads on Amazon ECS powered by AWS Trainium instances

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

Amazon SageMaker XGBoost now offers fully distributed GPU training

Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 1

Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain

Get insights on your user’s search behavior from Amazon Kendra using an ML-powered serverless stack

Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart