Amazon SageMaker
PulseAugur coverage of Amazon SageMaker — every cluster mentioning Amazon SageMaker across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Databricks and AWS SageMaker integrate for governed LLM fine-tuning
Databricks and Amazon SageMaker have collaborated to enable fine-tuning of large language models (LLMs) while maintaining strict data governance. This integration allows users to leverage SageMaker's AI training capabil…
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Anthropic Claude Platform now available natively via AWS
Anthropic's Claude Platform is now accessible directly through AWS accounts, simplifying integration for developers already using the cloud provider's services. This move expands Anthropic's enterprise reach and offers …
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AWS offers EC2 Capacity Blocks for short-term GPU needs
Amazon Web Services (AWS) is introducing EC2 Capacity Blocks for Machine Learning (ML) and SageMaker training plans to address the scarcity of GPU capacity. These new options allow customers to secure short-term GPU res…
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Publishers sue Meta for copyright; AI costs rise, impacting consumers
Major book publishers have filed a class-action lawsuit against Meta, alleging massive copyright infringement in the company's AI training data. Separately, Italian Prime Minister Giorgia Meloni criticized the spread of…
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Amazon SageMaker adds agentic fine-tuning for Llama, Qwen, Deepseek, and Nova
Amazon SageMaker has introduced agentic fine-tuning capabilities for open-weight models like Llama, Qwen, and Deepseek. This new feature allows developers to customize AI agents using reinforcement learning, aiming to e…
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AWS SageMaker adds automatic instance fallback for AI endpoints
Amazon SageMaker has introduced a new feature called capacity-aware instance pools for AI inference endpoints. This enhancement allows users to define a prioritized list of instance types, enabling SageMaker to automati…
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AWS SageMaker and MLflow empower developers to build advanced AI agents
Amazon SageMaker is enabling enterprises to build and deploy AI agents with greater control over performance, cost, and infrastructure. The integration with the open-source Strands Agents SDK allows for the deployment o…
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AWS and DVC integrate for end-to-end ML model lineage tracking
A new solution integrates DVC with Amazon SageMaker MLflow Apps to provide end-to-end lineage tracking for machine learning models. This addresses the challenge of tracing models back to their exact training data and co…
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Hugging Face benchmarks Llama 2 performance on Amazon SageMaker
Meta's Llama 2 model is now available on Amazon SageMaker, offering a new benchmark for performance on the cloud platform. This integration allows developers to leverage Llama 2's capabilities within the SageMaker envir…