South China Morning Post

Alibaba and Baidu add Meta’s Llama 3 to cloud platforms

- Ben Jiang ben.jiang@scmp.com

Chinese tech firms Alibaba Group Holding and Baidu have rushed to add support for Meta’s Llama 3 large language model (LLM) to their cloud computing platforms, after the technology used to train chatbots like ChatGPT was released last week.

E-commerce giant Alibaba’s cloud computing unit has added Meta’s Llama 3 LLM to its opensource artificial intelligen­ce (AI) model community, ModelScope, which offers developers access to a range of open-source AI models.

Separately, Alibaba Cloud extended support for Meta’s LLMs on the Bailian platform, offering free training and inferencin­g services and deploying solutions for a limited time, the company said in a post published on its official WeChat account yesterday, without elaboratin­g on the time frame. Alibaba owns the Post.

Bailian is an LLM service platform that provides a suite of tools and services to assist clients in building and training their own models and applicatio­ns using Alibaba’s cloud computing services.

Alibaba’s move follows an announceme­nt by search engine giant and AI pioneer Baidu to extend support for Llama 3, which came right after the Meta model’s release last week.

Last Friday, a day after Meta debuted the third iteration of its Llama series models, Beijingbas­ed Baidu was the first among major Chinese technology firms to step up, offering training and inferencin­g services for Llama 3 on its Qianfan model-as-a-service platform.

Qianfan was launched to help corporate clients build, train and scale AI models catering to their needs.

It offers a wide selection of models, ranging from Baidu’s proprietar­y Ernie family to thirdparty open-source models from local and overseas companies, such as Meta’s Llama series.

Qianfan currently hosts a total of 79 AI models, according to the company, with the platform’s 85,000 clients having built more than 14,000 models and 190,000 applicatio­ns.

With a developmen­t platform to consolidat­e tasks that included data management, model finetuning, model assessment and optimisati­on, and inferencin­g service deployment, Qianfan users would be able to build new models with the capability to surpass the foundation models at a much lower cost, Baidu said.

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