sagemaker
PulseAugur coverage of sagemaker — every cluster mentioning sagemaker across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Fine-tuning mBART-50 with LoRA on SageMaker matches GPT-4
A technical article details how to fine-tune the mBART-50 model using LoRA on Amazon SageMaker. The process aims to achieve performance comparable to GPT-4 for translation tasks. The method involves a two-step approach:…
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FlightSense platform predicts flight delays using AI and propagation features
Researchers have developed FlightSense, an MLOps platform designed to predict flight delays by modeling how delays propagate through aircraft rotation chains. The system achieved an AUC of 0.879 by incorporating delay p…
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Neura Robotics and AWS partner to deploy physical AI in real-world settings
German robotics company Neura Robotics has partnered with AWS to accelerate the deployment of physical AI. The collaboration will see AWS become Neura's primary cloud provider, hosting its Neuraverse platform for traini…
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Mechanisms for Effective Technical Teams
Eugene Yan's article outlines several mechanisms to enhance the productivity and effectiveness of technical teams, particularly those involved in machine learning. Key practices include End-of-Week Debriefs (EOWDs) for …
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Data scientists can influence without authority using data and Socratic questioning
Eugene Yan's article offers strategies for data scientists to influence decisions without formal authority, emphasizing the use of data and the Socratic method. He suggests leveraging quantitative and qualitative data t…
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Eugene Yan reflects on Amazon role and prolific writing in 2020
Eugene Yan's 2020 retrospective details his move to Seattle for a new role at Amazon, where he builds recommender and machine learning systems. He emphasizes learning to scale himself through documentation, system desig…
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ML research advances, system design patterns, and strategic problem selection explored
Eugene Yan's series of articles explores practical aspects of applying machine learning in real-world systems. He emphasizes starting projects with heuristics before implementing ML, the importance of design patterns fo…