Large language models (LLMs)
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The 10 most viewed blog posts of 2024
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Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WWR&R is an ...

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The 10 most viewed publications of 2024
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Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WWR&R is an ...

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Understanding the training dynamics of transformers
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Most of today’s breakthrough AI models are based on the transformer architecture, which is distinguished by its use of an attention mechanism. In a large ...

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Unlocking insights from qualitative text with LLM-enhanced topic modeling
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Whether collected through employee surveys, product feedback channels, voice-of-customer mechanisms, or other unstructured text sources, qualitative data ...

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A quick guide to Amazon’s papers at NeurIPS 2024
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The 2024 Conference on Neural Information Processing Systems (NeurIPS) — the premier conference in the field of AI — begins today, and the Amazon papers ...

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Amazon opens new AI lab in San Francisco focused on long-term research bets
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From left to right: David Luan, vice president of Amazon Artificial General Intelligence (AGI) Autonomy and head of the ...

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Model produces pseudocode for security controls in seconds
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One of the ways that Amazon Web Services (AWS) helps customers maintain the security of their cloud environments is with AWS Security Hub, which aggregates, ...

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Amazon Nova and our commitment to responsible AI
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The Amazon Nova family of multimodal foundation models, announced yesterday at Amazon Web Services’ re:Invent conference, is the latest example of our ...

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Detoxification of large language models via regularized fine-tuning
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Large language models (LLMs) have demonstrated impressive performance across a variety of tasks, but, as has been clear in multiple instances, they carry ...

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Solomonic learning: Large language models and the art of induction
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“One year of research in neural networks is sufficient to believe in God.” The writing on the wall of John Hopfield’s lab at Caltech made no sense to me in ...

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