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Alibaba, Baidu rush to add support for Meta’s Llama 3 on their cloud computing platforms


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 powerhouse Alibaba’s cloud computing unit has added Meta’s Llama 3 LLM to its open-source artificial intelligence (AI) models 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-of-charge training, inferencing, and deploying solutions for a limited time, the company said in a post published to its official WeChat account on Monday, without elaborating on the time frame.

Alibaba owns the South China Morning Post.

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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 search engine giant and AI pioneer Baidu, whose announcement to extend support for Llama 3 came right after the Meta model’s release last week.

Last Friday, one day after Meta debuted the third iteration of its Llama series models, Beijing-based 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.

Exterior view of the Baidu Tower in Shenzhen, southern China, January 17, 2024. Photo: Bloomberg

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 third-party 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 include data management, model fine-tuning, model assessment and optimisation, and inferencing service deployment, Qianfan users will 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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