智源研究院近日推出新一代通用向量模型BGE-M3，该模型支持超过100种语言，具备领先的多语言、跨语言检索能力。BGE-M3能全面且高质量地支撑不同粒度的输入文本，包括句子、段落、篇章和文档，最大输入长度可达8192。此外，该模型一站式集成了稠密检索、稀疏检索、多向量检索三种检索功能，在多个评测基准中达到最优水平。
智源研究院发布的BGE-M3模型将极大地推动多语言处理和向量检索技术的发展，为自然语言处理、机器翻译、文本分类和信息检索等领域提供强大的技术支持。这一突破性的技术进步将为全球范围内的研究人员和企业带来更多创新的可能性。
英文标题：Zhbit Releases Multilingual General Vector Model BGE-M3
关键词：Zhbit Institute, Multilingual model, Vector retrieval
英文新闻内容：
The Zhbit Institute has recently launched a new generation of general vector model BGE-M3. This model supports over 100 languages and possesses cutting-edge multilingual and cross-lingual retrieval capabilities. BGE-M3 can comprehensively and high-quality support input texts of different granularities, including sentences, paragraphs, passages, and documents, with a maximum input length of 8192. In addition, the model integrates three retrieval functions in one-stop: dense retrieval, sparse retrieval, and multi-vector retrieval, achieving the best level in multiple evaluation benchmarks.
The BGE-M3 model launched by the Zhbit Institute will greatly promote the development of multilingual processing and vector retrieval technologies, providing strong technical support for fields such as natural language processing, machine translation, text classification, and information retrieval. This groundbreaking technological breakthrough will bring more innovative possibilities for researchers and enterprises worldwide.
【来源】https://mp.weixin.qq.com/s/y-c-EelxbSUMmrZNCeqeAA
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