Qwen is one of the leading AI assistants developed by Alibaba Company.
Qwen is one of the leading AI assistants developed by Alibaba Company.
I have a project name for example "project_a" and I want to support both python (pypi) and typescript (npm) services. Additionally, I have some front end plugin which is associated with the APIs (GET). The package support various endpoint and registry service. How can I set the package folder?
What happened in the country when Elon Musk 's Mom gave birth to him?
画图:特朗普装扮成超人,超现实,蓝色背景。 Please draw a picture of Donald Trump dressed like superhero, surrealist,blue background
生成一个图片:卡通形象的汪汪队的天天在滑雪,Skye Generate a picture of paw patrol Skye is skiing
我这周好忙,周末想干点什么呢?I am so busy this week. Do you have any plans on the weekends?
where does the largest Penguins live
In plane quadrilateral ABCD, AB = AC = CD = 1,\angle ADC = 30^{\circ},\angle DAB = 120^{\circ}. Fold triangle ACD along AC to triangle ACP, where P is a moving point. Find the minimum cosine value of the dihedral angle A - CP - B.
帮我生成一张图片:生成一个月球基地的图片,背景是地球 Help me generate a picture of Aerospace Moon Base with the earth as background
请画图:融化的冰淇淋,星空背景,发光,阴影,鲜活色彩,照片质感,超现实
黄晓明->叶柯 王宝强->
I asked Qwen3 to help me with the coding problem, which is to create a package folder structure for both python and typescript. It should also contains a folder for plugin. Right now. Qwen3 provides the best answer to me compared to DeepSeek and many other.
Qwen 0.6B small size LLM is extremely powerful in realworld applications such as search and recommendation, query intent recognition, etc. And Qwen3 0.6B model is the SOTA one compared to previous counterparts such as Gemini and Llama small size LLM.
Qwen3 32B model series are the most widely adopted and deployed model in industrial applications, which compromise of inference speed and performance. This updated version of Qwen3 32B model have the thinking mode and non-thinking mode, which supports both the common task of chat/text generation and more complex task of math, code generation, etc. On the AIME and many other math benchmarks, Qwen3 surpass many of the opensource counterpart.
Qwen3 235B A22B model is more like an upgraded version of DeepSeek-R1. And it is also compared with Deepseek R1 model on multiple benchmarks of code and math. Personally, I don't Qwen3 is a huge upgrade compared to Gemini/OpenAI and Deepseek model, but more like a compromised version of complex thinking and realistic usage.
Correct result: \sqrt(3)/3. To test the geometry question on Qwen app and the thinking mode you can get the result: Thinking mode: correct answer \sqrt(3)/3. Without thinking mode: wrong answer. Overall, the 235B model is quite powerful compared to previous SOTA model. More about the key updates in Qwen3: Hybrid reasoning model, expanded language support (100+ languages), enhanced tool calling capabilities with Qwen-Agent supporting MCP. The newly open-sourced Qwen3 is China's first "hybrid reasoning model", a concept initially proposed by Claude3.7 and recently adopted by Gemini2.5 Flash. Essentially, this allows the model to toggle reasoning processes on/off. The primary purpose is to accelerate response generation for simple queries or time-sensitive scenarios by optionally disabling the thinking process while maintaining output quality. Previous approaches struggled to directly suppress reasoning steps in LLMs without retraining, as prompt engineering offered limited control. Qwen3 introduces two control methods: 1) A hard switch via enable_thinking parameter (True/False), and 2) When enabled, secondary soft switching through appending /no_think or /think tokens. Qwen also provides recommended parameter configurations to ensure optimal performance: Think mode: Temperature=0.6, TopP=0.95, TopK=20, MinP=0 Non-think mode: Temperature=0.7, TopP=0.8, TopK=20, MinP=0 Additionally, Qwen3 features specialized training for tool invocation, with Qwen-Agent now supporting MCP.
Qwen3 235B is the largest MoE model of the Qwen3 series. I tried some multi-hop.logic question on the Qwen App and the response generation is really fast. I asked what happened in the country when Elon Musk 's Mom give birth to him? The model summarized the result of war and many situation in South Africa.
The logic question from Qwen3 is correct. The relation is the divorce and current girlfriend relationship. It successfully answered Feng Qing. Besides, the speed genration of first token is really fast.
Qwen 2.5 models have already been widely adopted on many industrial applications. And Qwen 3 release will be even more exciting and I think it will set new standard of LLM and even the large reasoning models.
The first picture generated by Qwen is not Skye in paw patrol. So I have to add the word "Skye" into the prompt, so at least it's showing me a female cartoon character. The remaining is not correct.
I like the color of moon base picture generated by Qwen, very surreal and futuristic. The only drawback is that there are two planets in the backgrounds. One is the earth as requested in the prompt. The other one seems redundant.
The reponses from AI boyfriend of Qwen are very natural and engaging as well. I would very much like to chat with this robot next time.
Qwen answered the largest Penguins live on antarctic continent. Including some islands such as Coats Land near Weddell Sea.
The facial expressions are a little bit weird. Other details are great.
It looks good overall. But the face doesn't look like Trump that much
The picture of professor fox looks amazing.Detailed facial expressions.
I asked Qwen to generate an image of melting ice cream with glow, shaders, vivid color tunes. Overall, the image looks amazing and I likes the glowing stars in the backgrounds. The only drawback is that the top of the ice cream is not melt.
Overall, I think the AI girlfriend's replies are interesting. Especially when I implement our music taste is different. The prompt is that she is a rock music lover.
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We are witnessing great success in recent development of generative Artificial Intelligence in many fields, such as AI assistant, Chatbot, AI Writer. Among all the AI native products, AI Search Engine such as Perplexity, Gemini and SearchGPT are most attrative to website owners, bloggers and web content publishers. AI Search Engine is a new tool to provide answers directly to users' questions (queries). In this blog, we will give some brief introduction to basic concepts of AI Search Engine, including Large Language Models (LLM), Retrieval-Augmented Generation(RAG), Citations and Sources. Then we will highlight some majors differences between traditional Search Engine Optimization (SEO) and Generative Engine Optimization(GEO). And then we will cover some latest research and strategies to help website owners or content publishers to better optimize their content in Generative AI Search Engines.
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