Large language models (LLMs)
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Interpretable ensemble models improve product retrieval
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The field of machine learning is evolving at a rapid pace, with the regular release of new models that promise improvements over their predecessors. ...

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20B-parameter Alexa model sets new marks in few-shot learning
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Most major advances in AI have come from supervised learning, in which machine learning models are trained on annotated data. But as commercial AI models ...

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EMNLP: Prompt engineering is the new feature engineering
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Miguel Ballesteros, a principal applied scientist with Amazon Web Services' AI Labs, is a senior area chair for semantics at this year’s Conference on ...

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Using large language models (LLMs) to synthesize training data
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The machine learning models that power conversational agents like Alexa are typically trained on labeled data, but data collection and labeling are ...

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AAAI: Prompt engineering and reasoning in the spotlight
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The Association for the Advancement of Artificial Intelligence’s annual Conference on Artificial Intelligence (AAAI) received around 9,000 paper submissions ...

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Amazon-sponsored workshop advances deep learning for code
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At this year’s International Conference on Learning Representations (ICLR), Amazon CodeWhisperer — the automatic-code-generation service from Amazon Web ...

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Responsible AI in the generative era
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In recent years, and even recent months, there have been rapid and dramatic advances in the technology known as generative AI. Generative AI models are ...

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EACL: Language processing at the dawn of the LLM era
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The general chair of this year’s meeting of the European Chapter of the Association for Computational Linguistics (EACL) is Alessandro Moschitti, a ...

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Differential privacy for deep learning at GPT scale
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Deep-learning models are data driven, and that data may contain sensitive information that requires privacy protection. Differential privacy (DP) is a ...

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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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