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基于MoE架构的Qwen2.5-Max全面超越DeepSeek V3-首席AI分享圈

Qwen2.5-Max based on MoE architecture fully outperforms DeepSeek V3

Model Overview In recent years, large model training based on Mixture of Experts (MoE) architecture has become an important research direction in the field of artificial intelligence.The Qwen team recently released the Qwen2.5-Max model, which employs more than 20 trillion tokens of pre-training data and refined post-training scheme in M...

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YuE:将歌词转化为完整歌曲的基础模型,支持多种音乐风格-首席AI分享圈

YuE: Transforms lyrics into a base model of a complete song, supporting a wide range of musical styles

General Introduction YuE is an open source full song generation base model that focuses on transforming lyrics into full songs. Unlike other models that only generate short snippets of non-vocal music, YuE is capable of generating full songs with lead and backing vocals up to several minutes in length. The model solves the music generation problem of long on...

Windows本地部署基于 DeepSeek-R1 的微信智能聊天机器人-首席AI分享圈

Windows Native Deployment of DeepSeek-R1-based WeChat Intelligent Chatbot

Good New Year! Greetings to all of you! Recently, my circle of friends has been bombarded with news related to DeepSeek-R1, and I believe you have all heard about our domestic open source model DeepSeek! I'm sure you've all heard about DeepSeek, our homegrown open source model, and there have been a lot of tutorials on how to deploy DeepSeek-R1 locally, so let's do something different today...

Apollo AI:在iOS设备上运行多种本地模型(Llama 3.1,Qwen,DeepSeek R1)-首席AI分享圈

Apollo AI: running multiple local models on iOS devices (Llama 3.1, Qwen, DeepSeek R1)

General Introduction Open Intelligence is a company dedicated to providing open source AI solutions, and its main product, Apollo, allows users to interact directly with their private AI backends via their cell phones. The platform not only supports individual users to autonomously manage their AI backends, but also provides support for a variety of AI application scenarios, such as chatting...

LLM 蒸馏:一场关于大模型独立性的“暗战”?-首席AI分享圈

LLM distillation: a "dark war" on the independence of large models?

I. BACKGROUND AND CHALLENGES With the rapid development of AI technology, large-scale language models (LLMs) have become a core driver in the field of natural language processing. However, training these models requires huge computational resources and time costs, which has led to the rise of Knowledge Distillation (KD) techniques. Knowledge distillation works by combining large ...

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