1、Qwen 2.5-Max Model Overview 1.1 Model Introduction Alibaba Cloud officially launched the Tongyi Qwen 2.5-Max on January 29, 2025, this is a large-scale Mixture of Experts (MoE) model that demonstrates exceptional performance and potential in the field of natural language processing. As an important member of the Qwen series, Qwen 2.5-Max stands out in comparison … Read more
Author: PicturesqueOriginal: https://zhuanlan.zhihu.com/p/13700531874 >>Join the Qingke AI Technology Exchange Group to discuss the latest AI technologies with young researchers/developers Technical Report: https//arxiv.org/abs/2412.15115 Github Code: https//github.com/QwenLM/Qwen2.5 0 Abstract Qwen2.5 is a comprehensive series of LLMs designed to meet various needs. Compared to previous versions, Qwen2.5 has significant improvements in both the pre-training (Pretrain) and post-training (SFT, … Read more
Introduction The moon of ancient times is unseen by people today, yet this month once shone upon the ancients. Hello everyone, I am the little girl selling hot dry noodles. I am very glad to share cutting-edge technologies and thoughts in the field of artificial intelligence with my friends. With the rapid development of Large … Read more
Today, we share with you the latest paper from Alibaba Cloud Tongyi Qianwen team – Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models (Original paper link: https://arxiv.org/abs/2501.11873) This paper focuses on improving the training method of Mixture-of-Experts (MoEs) by relaxing local balance to global balance through lightweight communication, significantly … Read more
🚀 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
Click the top to follow me Before reading this article, we sincerely invite you to click the “Follow” button, so that we can conveniently push similar articles to you in the future, and also facilitate your discussions and sharing. Your support is our motivation to keep creating～ Today, we will learn about a powerful technology … Read more
01 Introduction Two months ago, the Qwen team upgraded Qwen2.5-Turbo to support a context length of up to one million tokens. Today, Qwen officially launched the open-source Qwen2.5-1M model along with its corresponding inference framework support. Here are the highlights of this release: Open Source Models: This release includes two new open-source models, namely Qwen2.5-7B-Instruct-1M … Read more
Introduction The development of large language models (LLMs) is advancing rapidly, with each major update potentially bringing significant improvements in performance and extending application scenarios. In this context, the latest Qwen2.5 series models released by Alibaba have garnered widespread attention. This technical report provides a detailed overview of the development process, innovations, and performance of … Read more
BUMBLE We are moving towards a world where we will see many robots capable of performing complex multi-step tasks at home and in other environments, but so far, we haven’t seen many attempts to truly accomplish this in open vocabulary tasks. Now, we have BUMBLE, which has over 90 hours of evaluation and user research! … Read more
Still copying and pasting manually? Are you still being tortured by tedious online tasks? The latest release from OpenAI, Operator, will completely revolutionize your work style! Today, let’s witness the powerful capabilities of this AI entity and see how it easily handles various complex tasks, boosting your efficiency! Hello everyone, I am Kate, welcome to … Read more