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Daily API Calls Exceed 1 Billion! WeChat Opensources WeMM-Embedding Multimodal Large Model, Leading International Prestigious Rankings

WeChat AI open-sourced WeMM-Embedding, a multimodal embedding model in 2B, 4B, and 9B versions. It supports text, images, video, visual documents, and arbitrary mixed multimodal inputs. Its multimodal isomorphic core enables deep understanding of text and visual information, improving cross-modal retrieval.....

12.8k 35 minutes ago
Daily API Calls Exceed 1 Billion! WeChat Opensources WeMM-Embedding Multimodal Large Model, Leading International Prestigious Rankings

WeChat WeMM-Embedding is widely used: WeChat Moments search and Video Highlights recommendations are running with a daily call volume of 1 billion

WeChat AI open-sourced multimodal embedding model WeMM-Embedding on Sept 4, with 2B, 4B, 9B versions, supporting interleaved text, image, video, visual document inputs, enabling comparison and retrieval in unified semantic space, deployed in Moments search and Channels recommendation.....

13k 5 minutes ago
WeChat WeMM-Embedding is widely used: WeChat Moments search and Video Highlights recommendations are running with a daily call volume of 1 billion

WeChat Vision Team Opensources General Multimodal Embedding Model WeMM-Embedding, Daily Call Volume Exceeds Ten Billion

Tencent WeChat Vision Team open-sourced WeMM-Embedding, a multimodal embedding model supporting text and image inputs. It offers 2B, 4B, and 9B versions for different deployment needs, with a unified architecture and training strategy, aiming to support AI developers and drive vertical innovations.....

14.4k 2 hours ago
WeChat Vision Team Opensources General Multimodal Embedding Model WeMM-Embedding, Daily Call Volume Exceeds Ten Billion
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