Alibaba Qwen
Qwickly forging AGI, enhancing intelligence.
This page will automatically redirect in 5 seconds. If you are not redirected automatically, please click the button below. The Qwen team aims at chasing artificial general intelligence and now focuses on building generalist models, including large language models and large multimodal models. We embrace opensource and previously we have released the Qwen model series, including the language models (Qwen), expert models (Qwen-Coder and Qwen-Math), and multimodal models (Qwen-VL and Qwen-Audio). Additionally, we have built web service and APP for users to benefit from the assistance of Qwen for your daily work and life. We are a group of people with diverse talents and interests. Feel free to chat with us and welcome to join us! In the following, we provide important links for you to refer to our opensource resources.
DeepSeek
深度求索（DeepSeek），成立于2023年，专注于研究世界领先的通用人工智能底层模型与技术，挑战人工智能前沿性难题。基于自研训练框架、自建智算集群和万卡算力等资源，深度求索团队仅用半年时间便已发布并开源多个百亿级参数大模型，如DeepSeek-LLM通用大语言模型、DeepSeek-Coder代
Based on the provided content, there is very limited specific user feedback about DeepSeek. The social mentions primarily consist of multiple YouTube channel references to "DeepSeek AI" without actual user reviews or detailed commentary. One technical mention discusses IndexCache, a sparse attention optimizer that improves inference speed by 1.82x for long-context AI models, potentially related to DeepSeek's technical capabilities. The other mentions focus on general AI cost optimization tools and competitive analysis rather than DeepSeek-specific user experiences. Without substantive user reviews or detailed social commentary, it's difficult to assess user sentiment regarding DeepSeek's strengths, weaknesses, or pricing perception.
Alibaba Qwen
DeepSeek
Alibaba Qwen
DeepSeek
Alibaba Qwen
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DeepSeek
Alibaba Qwen
DeepSeek
Alibaba Qwen
DeepSeek
