2 links tagged with all of: multimodal + machine-learning
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This article introduces the Gemma 4 family of models from Google DeepMind, detailing their architectures and improvements over the previous version, Gemma 3. It highlights key features such as interleaved attention layers and efficiency enhancements in global attention mechanisms.
Qwen has released the Qwen3-VL-Embedding and Qwen3-VL-Reranker models, designed for advanced multimodal information retrieval and cross-modal understanding. These models support various inputs, including text and images, and enhance retrieval accuracy through a two-stage process of initial recall and precise re-ranking.