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Alibaba's latest Qwen model is shaking up the AI world by challenging the proprietary model economics as it delivers comparable performance on commonplace hardware. The Qwen 3.5 series, like its other open-source counterparts, is giving established US-based labs a run for their money in terms of performance.

For years, the United States has been leading the pack in AI literature and models as labs benefit from an advantage in processor quality and algorithm development. Alibaba's Qwen caters to a niche that many enterprises find attractive - the ability to utilize common hardware without the need for heavy-lifting CPUs/GPUs.

Enterprises have been on the lookout for ways to cut inference costs that previously required high-performance hardware. Furthermore, these enterprises are able to enjoy greater flexibility in AI deployments without having to worry about extensive hardware modifications.

AI has long been in the hands of tech giants with copious resources to spare. The release of Qwen brings forth a new era of machine learning, where more organizations and businesses can engage in the tech despite its prohibitive costs. Alibaba's open-source approach to AI model economics could very well set a precedent for businesses trying to compete and keep up in a world where AI is increasingly becoming a must-have tool.

All in all, the arrival of Alibaba's Qwen model is an understated wave of disruption in the world of AI, challenging proprietary AI model economics. With more options out there giving comparable results at a more affordable cost, there's now more potential for businesses and individuals to come aboard the AI revolution. The day of AI exclusivity may be numbered.

Source: AI News, Link
#AI and Us #AI Business Strategy #Features #Governance, Regulation & Policy #Inside AI #Open-Source & Democratised AI #Opinion #alibaba #china #democratisation #economics #governance #models #open-source #qwen #strategy

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