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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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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