Qwen2.5-VL: Alibaba’s Latest Open Source Visual Language Model

Qwen2.5-VL: Alibaba's Latest Open Source Visual Language Model

πŸš€ Quick Read Model Introduction: Qwen2.5-VL is the flagship open-source visual language model from Alibaba’s Tongyi Qianwen team, available in three different sizes: 3B, 7B, and 72B. Main Features: Supports visual understanding, long video processing, structured output, and device operation. Technical Principles: Utilizes a series structure of ViT and Qwen2, supports multi-modal rotary position encoding … Read more

Embodied Intelligence and Multi-modal Language Models: Is GPT-4 Vision the Strongest Agent?

Embodied Intelligence and Multi-modal Language Models: Is GPT-4 Vision the Strongest Agent?

Author: PCA-EVAL Team Affiliation: Peking University & Tencent Abstract: Researchers from Peking University and Tencent have proposed the PCA-EVAL multi-modal embodied decision-making intelligence evaluation set. By comparing end-to-end decision-making methods based on multi-modal models with tool invocation methods based on LLMs, it has been observed that GPT-4 Vision demonstrates outstanding end-to-end decision-making capabilities from multi-modal … Read more

HuggingFace’s Experiments on Effective Tricks for Multimodal Models

HuggingFace's Experiments on Effective Tricks for Multimodal Models

Xi Xiaoyao Technology Says Original Author | Xie Nian Nian When constructing multimodal large models, there are many effective tricks, such as using cross-attention mechanisms to integrate image information into language models or directly combining image hidden state sequences with text embedding sequences as inputs to the language model. However, the reasons why these tricks … Read more