Computer vision
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How task decomposition and smaller LLMs can make AI more affordable
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The expanding use of generative-AI applications has increased the demand for accurate, cost-effective large language models (LLMs). LLMs’ costs vary ...

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Amazon scientist Dr. Nashlie Sephus focuses on ensuring accuracy in machine learning
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Dr. Nashlie Sephus is an applied scientist working on the Amazon Web Services machine learning team. In her role, Sephus is responsible for establishing ...

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ICLR: The AI conference that helped redefine the field
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The International Conference on Learning Representations (ICLR), which will be virtual this year and begins next week, is only eight years old. But ...

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2019 Amazon Research Awards recipients announcement
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Earlier this spring, Amazon notified grant applicants that they were recipients of the 2019 Amazon Research Awards, a grant program that provides up to ...

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Sizing neural networks to the available hardware
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Neural-architecture search means automatically finding the best neural-network architecture for a particular task. Often, that involves finding an ...

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How a ‘Think Big’ idea helped bring Lookout for Vision to life
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On Dec. 1 at re:Invent 2020, Amazon Web Services (AWS) announced Amazon Lookout for Vision, an anomaly detection solution that uses machine learning to ...

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The science behind Amazon’s new StyleSnap for Home feature
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When people go shopping for fashion or home décor items, they mostly have an idea about what they want to purchase. However, when they sit down at a ...

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Growing generative adversarial networks, layer by layer
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Generative adversarial networks (GANs) can produce remarkably realistic synthetic images. During training, a GAN pits a generator, which produces the image, ...

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Dive into Deep Learning adds attention mechanism chapter
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The global machine-learning market is expanding rapidly. In fact, Forbes Business Insights predicts that the market for machine-learning products will reach ...

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3 questions with Marzia Polito: Performing computer vision tasks at scale with few-shot learning
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The first Amazon Web Services (AWS) Machine Learning Summit on June 2 will bring together customers, developers, and the science community to learn about ...

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