News from the AI & ML world
DeeperML
@felloai.com
//
Alibaba has launched Qwen3, a new family of large language models (LLMs), posing a significant challenge to Silicon Valley's AI dominance. Qwen3 is not just an incremental update but a leap forward, demonstrating capabilities that rival leading models from OpenAI, Google, and Meta. This advancement signals China’s growing prowess in AI and its potential to redefine the global tech landscape. Qwen3's strengths lie in reasoning, coding, and multilingual understanding, marking a pivotal moment in China's AI development.
The Qwen3 family includes models of varying sizes to cater to diverse applications. Key features include complex reasoning, mathematical problem-solving, and code generation. The models support 119 languages and are trained on a massive dataset of over 36 trillion tokens. Another innovation is Qwen3’s “hybrid reasoning” approach, enabling models to switch between "fast thinking" for quick responses and "slow thinking" for deeper analysis, enhancing versatility and efficiency. Alibaba has also emphasized the open-source nature of some Qwen3 models, fostering wider adoption and collaborative development in China's AI ecosystem.
Alibaba also introduced ZeroSearch, a method that uses reinforcement learning and simulated documents to teach LLMs retrieval without real-time search. It addresses the challenge of LLMs relying on static datasets, which can become outdated. By training the models to retrieve and incorporate external information, ZeroSearch aims to improve the reliability of LLMs in real-world applications like news, research, and product reviews. This method mitigates the high costs associated with large-scale interactions with live APIs, making it more accessible for academic research and commercial deployment.
ImgSrc: felloai.com
References :
The Qwen3 family includes models of varying sizes to cater to diverse applications. Key features include complex reasoning, mathematical problem-solving, and code generation. The models support 119 languages and are trained on a massive dataset of over 36 trillion tokens. Another innovation is Qwen3’s “hybrid reasoning” approach, enabling models to switch between "fast thinking" for quick responses and "slow thinking" for deeper analysis, enhancing versatility and efficiency. Alibaba has also emphasized the open-source nature of some Qwen3 models, fostering wider adoption and collaborative development in China's AI ecosystem.
Alibaba also introduced ZeroSearch, a method that uses reinforcement learning and simulated documents to teach LLMs retrieval without real-time search. It addresses the challenge of LLMs relying on static datasets, which can become outdated. By training the models to retrieve and incorporate external information, ZeroSearch aims to improve the reliability of LLMs in real-world applications like news, research, and product reviews. This method mitigates the high costs associated with large-scale interactions with live APIs, making it more accessible for academic research and commercial deployment.
ImgSrc: felloai.com
Share:
References :
- felloai.com: Reports Alibaba’s Qwen3 AI is Here to Challenge Silicon Valley
- MarkTechPost: Alibaba Uses Reinforcement Learning and Simulated Documents to Teach LLMs Retrieval Without Real-Time Search
- techcrunch.com: Alibaba unveils Qwen 3, a family of hybrid AI reasoning models.
- www.marktechpost.com: ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach LLMs Retrieval Without Real-Time Search
- THE DECODER: Report on Alibaba's "Web Dev" tool in Qwen which generates full front-end code from just a prompt.
- Towards AI: Qwen-3 Fine Tuning Made Easy: Create Custom AI Models with Python and Unsloth
- the-decoder.com: Web Dev in Qwen generates full front-end code from just a prompt
- www.techradar.com: Alibaba says AI-generating search results could not only reduce reliance on Google's APIs, but cut costs by up to 88%.
- Fello AI: Just when you thought Silicon Valley had the AI game locked down, Alibaba has unleashed Qwen3, a new generation of AI models so powerful they’re making US tech giants sweat.