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.
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project2026-03-30
The article discusses how Volkswagen Group collaborated with AWS to implement a generative AI solution that enhances their marketing capabilities. By leveraging Amazon SageMaker and Amazon Bedrock, they developed an end-to-end pipeline for generating and evaluating marketing images that comply with brand standards. The solution addresses challenges in producing high-quality, brand-compliant images at scale, automating both image generation and quality control processes. It highlights the importance of fine-tuning AI models to reflect specific brand identities and the use of automated systems for prompt optimization and brand guideline compliance.
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tech12025-12-22
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.
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project2023-10-03
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.
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product2025-06-24
i don't know "OpenLineage standard" before, I guess Datahub should enable to support it as well.
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poc2025-03-05
Treat time series data as a language to be modeled by off-the-shelf transformer architectures.
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project2024-12-17
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project2024-11-05
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product2024-12-20
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Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelinesproduct2024-10-22
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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