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

Create high-quality images with Stable Diffusion models and deploy them cost-efficiently with Amazon SageMaker

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

How OCX Cognition reduced ML model development time from weeks to days and model update time from days to real time using AWS Step Functions and Amazon SageMaker

Automate document validation and fraud detection in the mortgage underwriting process using AWS AI services: Part 1

Accelerate machine learning time to value with Amazon SageMaker JumpStart and PwC’s MLOps accelerator