Large language models (LLMs)
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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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A quick guide to Amazon’s 50-plus papers at EMNLP 2024
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Large language models (LLMs) have come to dominate the field of natural-language processing, so it’s no surprise that they also dominate the research that ...

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The technology behind Amazon’s GenAI-powered shopping assistant, Rufus
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"What do I need for cold-weather golf?”“What are the differences between trail shoes and running shoes?”“What are the best dinosaur toys for a ...

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The life of a prescription at Amazon Pharmacy
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Pharmacies play a vital role in ensuring patients’ health, but the process of dispensing medications is far more complex than it may appear. At Amazon ...

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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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Accounting for cognitive bias in human evaluation of large language models
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Large language models (LLMs) can generate extremely fluent natural-language texts, and fluency can trick the human mind into neglecting the quality of the ...

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A quick guide to Amazon’s papers at ACL 2024
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Like the field of conversational AI in general, Amazon’s papers at this year’s meeting of the Association for Computational Linguistics (ACL) are dominated ...

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Enabling LLMs to make the right API calls in the right order
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Until the recent, astonishing success of large language models (LLMs), research on dialogue-based AI systems pursued two main paths: chatbots, or agents ...

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