The Rise of Chinese LLMs: Alibaba’s Qwen-72B-Instruct Takes the Top Spot
The latest rankings from Hugging Face have revealed a significant shift in the large language model (LLM) landscape, with Chinese models dominating the top 10 list. Notably, Alibaba’s Qwen-72B-Instruct LLM has taken the top spot, outperforming its competitors with a score of 43.02.
Chinese LLMs are leading the way
The focus on open-source models has led to the exclusion of proprietary models like OpenAI’s ChatGPT and Google’s Gemini from the rankings. This has paved the way for Chinese LLMs to shine, with Alibaba’s offerings receiving the most plaudits.
According to Hugging Face CEO Clement Delangue, “Qwen 72B (Instruct) is the king and Chinese open models are dominating overall.” The smaller Tongyi Qianwen models have also performed exceptionally well, occupying fourth and tenth place in the rankings.
Tongyi Qianwen models are making waves
Meta’s Llama came in second place with a score of 36.67, closely followed by other Chinese LLMs like Yi-1.5, which ranked seventh. Microsoft’s small-language model (SML) Phi-3 also made the cut, highlighting the growing presence of Chinese LLMs in the global AI landscape.
“There are indications that AI builders have started to focus on the main evaluations too much at the expense of model performances on other ones,” said Delangue. “Bigger is not always smarter.”
The rise of Chinese LLMs is a significant development in the AI ecosystem, driven by the need to tailor AI models to capture the nuances of the Chinese language and prevent foreign products from dominating the local market. Alibaba’s decision to shutter its quantum computing and emerging technologies arm to focus on AI has paid off handsomely, and other Chinese firms are angling to provide similar services to AI developers.
Alibaba’s focus on AI is paying off
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