AWS Sagemaker

Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.

Web site

Tech tags:

• Machine learning
• LLM training

Related shared contents:

• Unifying Governance and Metadata Across Amazon SageMaker Unified Studio and Atlan
  tech1
  2025-12-22

  This article discusses the integration of Atlan and Amazon SageMaker Unified Studio to unify governance and metadata management across data and AI environments. It highlights the importance of maintaining consistent metadata in hybrid environments where different teams use various tools. The article provides a detailed overview of the integration process, including setting up secure connections and automated synchronization of metadata. It emphasizes the benefits of having a single, trusted view of data assets for both business and technical users.
• LyftLearn Evolution: Rethinking ML Platform Architecture
  project
  2023-10-03

  The article discusses Lyft's transition from a fully Kubernetes-based machine learning platform to a hybrid architecture utilizing AWS SageMaker for offline workloads and Kubernetes for online model serving. It highlights the challenges faced with the original architecture, including operational complexity and resource management, and details the technical decisions made to simplify the infrastructure while maintaining performance. The migration aimed to reduce operational overhead and improve reliability, allowing teams to focus on developing new capabilities rather than managing infrastructure.
• Capture data lineage from dbt, Apache Airflow, and Apache Spark with Amazon SageMaker
  product
  2025-06-24

  i don't know "OpenLineage standard" before, I guess Datahub should enable to support it as well.
• Time series forecasting with LLM-based foundation models and scalable AIOps on AWS
  poc
  2025-03-05

  Treat time series data as a language to be modeled by off-the-shelf transformer architectures.
• How TUI uses Amazon Bedrock to scale content creation and enhance hotel descriptions in under 10 seconds
  project
  2024-12-17
• How Zalando optimized large-scale inference and streamlined ML operations on Amazon SageMaker
  project
  2024-11-05
• Amazon Q data integration adds DataFrame support and in-prompt context-aware job creation
  product
  2024-12-20
• Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines
  product
  2024-10-22

  AWS introduces a visual designer in SageMaker Pipelines to simplify fine-tuning and deploying Llama 3.x models. This new UI allows users to create, manage, and automate workflows for continuous model updates using a no-code interface. The article details a sample pipeline for customizing LLMs with SEC financial data, enabling tasks like model evaluation, deployment, and conditional registration based on performance.

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