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Introducing Amazon SageMaker Reinforcement Learning Components for open-source Kubeflow pipelines

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This blog post was co-authored by AWS and Max Kelsen. Max Kelsen is one of Australia’s leading Artificial Intelligence (AI) and Machine Learning (ML) solutions businesses. The company delivers innovation, directly linked to the generation of business value and competitive advantage to customers in Australia and globally, including Fortune 500 companies. Max Kelsen is also dedicated to reinvesting our expertise and profits to solve the challenges of humankind, focusing on… Read More »Introducing Amazon SageMaker Reinforcement Learning Components for open-source Kubeflow pipelines

[N] Google Study Shows Transformer Modifications Fail To Transfer Across Implementations and Applications

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A team from Google Research explores why most transformer modifications have not transferred across implementation and applications, and surprisingly discovers that most modifications do not meaningfully improve performance. Here is a quick read: Google Study Shows Transformer Modifications Fail To Transfer Across Implementations and Applications The paper Do Transformer Modifications Transfer Across Implementations and Applications? is on arXiv. submitted by /u/Yuqing7 [link] [comments]