Generative AI
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ACL: Computational linguistics in the age of large language models
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As they are everywhere, large language models are a major topic of conversation at this year’s meeting of the Association for Computational Linguistics ...

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A quick guide to Amazon’s papers at CVPR 2024
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In the past few years, foundation models and generative-AI models — and particularly, large language models (LLMs) — have become a major topic of AI ...

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Teaching language models to reason consistently
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Teaching large language models (LLMs) to reason is an active topic of research in natural-language processing, and a popular approach to that problem is the ...

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Interspeech: Where speech recognition and synthesis converge
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As the start of this year’s Interspeech draws near, “generative AI” has become a watchword in both the machine learning community and the popular press, ...

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“I don’t remember a time in my life when I wasn’t interested in science”
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It was on a “hunting trip” to Italy in 2015 that computer vision pioneer Stefano Soatto first came across Alessandro Achille. More accurately, it was a ...

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Amazon Bedrock offers access to multiple generative AI models
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The drive to harness the transformative power of high-end machine learning models has meant some businesses are facing new challenges. Teams want assistance ...

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Amazon Research Awards recipients announced
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Since its inception in 2015, Amazon Research Awards has issued calls for proposals in topics ranging from fairness in AI to robotics to natural-language ...

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USC + Amazon Center on Secure and Trusted Machine Learning selects six new research projects
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The USC + Amazon Center on Secure and Trusted Machine Learning, established in January 2021 to support fundamental research and development of new ...

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A quick guide to Amazon’s 30+ papers at NAACL 2024
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In recent years, the fields of natural-language processing and computational linguistics, which were revolutionized a decade ago by deep learning, were ...

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More-efficient recovery from failures during large-ML-model training
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Today’s large machine learning models — such as generative language models or vision-language models — are so big that the process of training them is ...

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