Video-text retrieval techniques endeavour to bridge the semantic gap between visual content and natural language descriptions. By learning joint representations for both video and text, these ...

To protect private information stored in text embeddings, it’s essential to de-identify the text before embedding and storing it in a vector database. In this article, we'll demonstrate how to ...

We provide evidence that information that organizes interfering text after learning improves recall of original text to which the organizing information does not pertain. Subjects learned two text ...

BOSTON, June 5, 2024 /PRNewswire/ -- Linq, a generative AI startup, announced that its large embedding model "Linq-Embed-Mistral" ranked first in the text retrieval evaluation on HuggingFace's ...

Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...

Beijing Zhongke Journal Publising Co. Ltd. With the popularization of social networks, different modalities of data such as images, text, and audio aregrowing rapidly on the Internet. Subsequently, ...