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India Today
6 days ago
- Business
- India Today
Alibaba unveils new open source AI that creates images with perfect text
Alibaba has released a new open-source image generation model called Qwen-Image that sets itself apart by accurately rendering complex and multilingual text within images, a task where many other AI tools still struggle. Developed by Alibaba's Qwen Team, Qwen-Image is designed to handle everything from handwritten poetry and bilingual posters to e-commerce product labels and classroom diagrams, all while maintaining high-quality, readable text. The model supports both alphabetic scripts, like English, and logographic ones, like Chinese, making it especially useful in multilingual can try out Qwen-Image via the Qwen Chat website by switching to the "Image Generation" mode. The model has also been released under the Apache 2.0 licence, meaning businesses and developers can use, modify, and distribute it — even for commercial purposes — as long as they include the proper training data includes billions of image-text pairs sourced from natural scenes, human portraits, artistic posters, and synthetically generated text data. Interestingly, all the synthetic data used for training was generated in-house by Alibaba, and no AI-generated images from other models were included. This approach helped the model learn to handle rare or complex characters, especially in Chinese. The model was trained in stages, starting with simple captioned images and gradually moving to more complex layouts and dense multilingual text. This curriculum-style training, according to Alibaba, helped Qwen-Image generalise better across various the hood, Qwen-Image combines three main components:-Qwen2.5-VL, a multimodal language model for understanding context-A VAE encoder/decoder, optimised for high-resolution layouts-MMDiT, a diffusion model with a special encoding system for spatial alignmentThese elements work together to produce images that are not only visually appealing but also accurate in terms of text placement and claims that Qwen-Image has been tested against several industry benchmarks for text clarity, layout precision, and prompt-following ability. On the AI Arena public leaderboard, which uses human evaluations to rank AI image models, Qwen-Image reportedly holds third place overall currently and is the highest-ranked open-source model.- EndsMust Watch
South China Morning Post
23-07-2025
- Business
- South China Morning Post
Alibaba unleashes Qwen3 coding model for developers to push AI agent adoption
Touted as the company's 'most advanced agentic AI coding model to date', the Qwen3-Coder-480B-A35B-Instruct – built on a so-called Mixture of Experts (MoE) architecture – features a total of 480 billion parameters, 35 billion of which are active, and supports a 256,000-token context window, expandable to 1 million tokens through extrapolation methods. In a blog entry on developer platform GitHub, the Qwen team of Alibaba Cloud – the AI and cloud computing arm of Alibaba, owner of the Post – showed that Qwen3-Coder had set new state-of-the-art results among open-source models across multiple agentic tasks, outperforming Kimi K2 Instruct from Moonshot AI and DeepSeek 's V3-0324 On SWE-Bench, a benchmark for evaluating large language models on real-world software engineering tasks, Qwen3-Coder showed stronger capabilities than those of the two Chinese AI start-ups ' models. The same benchmark tests also showed that Qwen3-Coder was rated either on par or just behind in certain areas when compared with the performance of prominent proprietary AI models Claude Sonnet-4 from Anthropic and OpenAI 's GPT-4.1. 'Agentic AI coding is transforming software development by enabling more autonomous, efficient and accessible programming workflows,' Alibaba said in a statement on Wednesday. 'With its open-source availability, strong agentic coding capabilities, and seamless compatibility with popular developer tools and interfaces, Qwen3-Coder is positioned as a valuable tool for global developers in software development.'
South China Morning Post
17-06-2025
- Business
- South China Morning Post
Alibaba updates open-source Qwen3 models to support AI deployment on Apple devices
Advertisement In a Monday post on social media platform X , the Qwen team of Alibaba's cloud computing unit said it launched open-source Qwen3 models optimised for Apple's MLX framework for machine learning. Alibaba owns the South China Morning Post. The MLX framework is intended to be user-friendly, but still efficient in training and deploying AI models on Apple's silicon hardware. It has seen growing adoption among developers within the Apple ecosystem. Open source gives public access to a software program's source code, allowing third-party developers to modify or share its design, fix broken links or scale up its capabilities. This latest development appears to reflect Apple's efforts to expand the availability of its Apple Intelligence suite to mainland China. Under Chinese rules, any models that are part of Apple Intelligence would need regulatory approval for public release in the country. Advertisement
