Huawei to release its chatbot ‘Pangu’ based on ChatGPT-like LLM in July

The tech titan has said that its LLM will stand out for three aspects, including the capacity to absorb massive data, a robust network structure, and sufficient versatility in terms of application to be called a "general-purpose" model.

Tmtpost, a Chinese online tech publication, reported today that Huawei Technologies will release a multimodal large language model (LLM) that is benchmarked against ChatGPT, named Pangu Chat.

Huawei is among a number of Chinese tech giants that have announced their ambitions to develop a LLM in recent months. The telecom equipment titan started its foray into LLM as early as November 2020, and has worked on it ever since.

After OpenAI’s ChatGPT took the global tech community by storm, Huawei began to reveal the headway it has made in developing a LLM it calls “Pangu.”

According to Tmtpost, Huawei is set to unveil Pangu Chat at HDC.Cloud 2023 on July 7 this year, as well as open an API for internal tests of the chatbot service. Pangu will target clients in the business and government sectors.

Huawei published data earlier showing that PanGu-Σ — the latest edition of the LLM — contains as many as 1.085 trillion parameters and is built upon Huawei’s proprietary MindSpore framework.

Overall, Huawei said Pangu-Σ could rival GPT-3.5 in conversational ability.

Public records show that the Pangu LLM made its debut in April 2021, and received an upgrade to the 2.0 version in April the following year. As time went on, more parameters and functions were being added to the model to iterate it.

As of now, Huawei’s Pangu has become an all-in-one model, with natural language processing (NLP), computer vision (CV) and climate modelling all tagged as “would-be” add-ons to be included in the existing LLM.

Take meteorological reports, a key use case for Pangu. Huawei claims that its key metrics and accuracy both surpass the most advanced weather forecast systems, while improving the speed by more than 1,000 times.

At the same time, Pangu’s climate model supports a wide range of forecast tasks, such as predicting the trail of typhoon. Compared to the methodology behind traditional weather reports, using the Pangu LLM can lower the margin of error by more than 20%, said Huawei.

The tech titan has said that its LLM will stand out for three aspects, including the capacity to absorb massive data, a robust network structure, and sufficient versatility in terms of application to be called a “general-purpose” model.

Aside from NLP, CV and climate modelling, which constitute the bottom layer of Pangu, the top layer of the model will be a result of collaborations between Huawei and industry partners, Tmtpost said, citing slides shown by Huawei Cloud executives on previous occasions.

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Ni Tao

Ni Tao is the founder and editor-in-chief of cnrobopedia. Prior to cnrobopedia, he had a full decade of experience with a major state-run English-language newspaper as a tech reporter and opinion writer. He is also a communications specialist, having provided consultancy services to established firms like Siemens, Philips, ABinBev, Diageo, Trip.com Group (Nasdaq: TCOM, HK: 9961), Jianpu Technology (NYSE: JT) and a handful of domestic startups. A graduate of Fudan University, he writes widely about China's business and tech scenes and other topics for global publications including South China Morning Post, SupChina, The Diplomat, CGTN, Banking Technology, among others, and tries to impart his experience to students at Fudan University Journalism School, where he is a part-time lecturer. When he's not writing about robotics, you can expect him to be on his beloved Yanagisawa saxophones, trying to play some jazz riffs, often in vain and occasionally against the protests of an angry neighbor. Get in touch with him by dropping a line at nitao0927@gmail.com.

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