Post #2171

Hugging Face (Twitter) RT @Alibaba_Qwen: 🚀 Introducing Qwen3-VL-Embedding and Qwen3-VL-Reranker – advancing the state of the art in multimodal retrieval and cross-modal understanding! ✨ Highlights: ✅ Built upon the robust Qwen3-VL foundation model ✅ Processes text, images, screenshots, videos, and mixed modality inputs ✅ Supports 30+ languages ✅ Achieves state-of-the-art performance on multimodal retrieval benchmarks ✅ Open source and available on Hugging Face, GitHub, and ModelScope ✅ API deployment on Alibaba Cloud coming soon! 🎯 Two-stage retrieval architecture: 📊 Embedding Model – generates semantically rich vector representations in a unified embedding space 🎯 Reranker Model – computes fine-grained relevance scores for enhanced retrieval accuracy 🔍 Key application scenarios: Image-text retrieval, video search, multimodal RAG, visual question answering, multimodal content clustering, multilingual visual search, and more! 🌟 Developer-friendly capabilities: •... Перейти на оригинальный пост