From 1b71cf13bf09e08792ea1b31335a9467efbac1c1 Mon Sep 17 00:00:00 2001 From: Junpu Fan Date: Thu, 20 Nov 2025 11:37:06 -0800 Subject: [PATCH] fix typo --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6ef2f6e45ffb..7795a717c932 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ One stop shop for running AI/ML on AWS. - Seamlessly integrate AWS Deep Learning Containers with Amazon SageMaker's managed MLflow service to streamline your ML experiment tracking, model management, and deployment workflow. Checkout [Level Up with SageMaker AI & MLflow](https://aws.amazon.com/blogs/machine-learning/use-aws-deep-learning-containers-with-amazon-sagemaker-ai-managed-mlflow/) for details 🔄 - Deploy and serve Large Language Models efficiently on Amazon EKS using vLLM Deep Learning Containers for optimized inference performance and scalability. Checkout [Deploy LLMs Like a Pro on EKS](https://aws.amazon.com/blogs/architecture/deploy-llms-on-amazon-eks-using-vllm-deep-learning-containers/) for details 🚀 - Learn to fine-tune and deploy Meta's Llama 3.2 Vision model for AI-powered web automation by combining AWS DLCs, Amazon EKS, and Bedrock to enable visual understanding in your applications. Checkout [Web Automation with Meta Llama 3.2 Vision](https://aws.amazon.com/blogs/machine-learning/fine-tune-and-deploy-meta-llama-3-2-vision-for-generative-ai-powered-web-automation-using-aws-dlcs-amazon-eks-and-amazon-bedrock/) for details 🎯 -- Discover how to simplify and accelerate your deep learning workflow by integrating AWS Deep Learning Containers with Amazon Q Developer and Model Composer Platform (MCP) for streamlined environment setup and management. Checkout [Supercharge Your DL Environment](https://aws.amazon.com/blogs/machine-learning/streamline-deep-learning-environments-with-amazon-q-developer-and-mcp/) for details ⚡ +- Discover how to simplify and accelerate your deep learning workflow by integrating AWS Deep Learning Containers with Amazon Q Developer and Model Context Protocol (MCP) for streamlined environment setup and management. Checkout [Supercharge Your DL Environment](https://aws.amazon.com/blogs/machine-learning/streamline-deep-learning-environments-with-amazon-q-developer-and-mcp/) for details ⚡ ### 🎓 Hands-on Workshop