Use AWS Deep Learning Containers with Amazon SageMaker AI managed MLflow

Favorite Organizations building custom machine learning (ML) models often have specialized requirements that standard platforms can’t accommodate. For example, healthcare companies need specific environments to protect patient data while meeting HIPAA compliance, financial institutions require specific hardware configurations to optimize proprietary trading algorithms, and research teams need flexibility to experiment

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Shared by AWS Machine Learning September 19, 2025

Build Agentic Workflows with OpenAI GPT OSS on Amazon SageMaker AI and Amazon Bedrock AgentCore

Favorite OpenAI has released two open-weight models, gpt-oss-120b (117 billion parameters) and gpt-oss-20b (21 billion parameters), both built with a Mixture of Experts (MoE) design and a 128K context window. These models are the leading open source models, according to Artificial Analysis benchmarks, and excel at reasoning and agentic workflows.

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Shared by AWS Machine Learning September 18, 2025

Supercharge your organization’s productivity with the Amazon Q Business browser extension

Favorite Generative AI solutions like Amazon Q Business are transforming the way employees work. Organizations in every industry are embracing these tools to help their workforce extract valuable insights from increasingly fragmented data to accelerate decision-making processes. However, the adoption of generative AI tools hasn’t been without its challenges. Two

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Shared by AWS Machine Learning September 18, 2025

Investing in America 2025

Favorite Google’s deep investments in American technical infrastructure, R&D and the workforce will help the U.S. continue to lead the world in AI. View Original Source (blog.google/technology/ai/) Here.