Video captioning models are typically trained on datasets consisting of short videos, usually under three minutes in length, paired with corresponding captions. While this enables them to describe basic actions like walking or talking, these […]
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Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly exceed available token windows. In this tutorial, we […]
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In my first stint as a machine learning (ML) product manager, a simple question inspired passionate […]
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The pretraining efficiency and generalization of large language models (LLMs) are significantly influenced by the quality and diversity of the underlying training corpus. Traditional data curation pipelines often treat quality and diversity as separate objectives, […]
In one of the more common disputes of modern AI, Ziff Davis, IGN Entertainment and Everyday Health Media have sued Open AI for copyright infringement. The lawsuit from the media companies alleged copyright infringement, violations […]
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Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR models to high-resolution images remains a persistent challenge. Unlike text, where relatively few tokens are […]
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Liquid AI, the Boston-based foundation model startup spun out of the Massachusetts Institute of Technology (MIT), […]
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