China’s biggest cloud computing and e-commerce player releases Tongyi Qianwen 2.0, its latest large language model.
Alibaba introduced the latest version of its artificial intelligence model on Tuesday, as the Chinese technology company aims to compete with Amazon and Microsoft in the United States.
Tongyi Qianwen 2.0, the latest large language model (LLM) from China’s largest cloud computing and e-commerce company, was announced. A LLM is trained on massive quantities of data and serves as the foundation for generative AI applications such as OpenAI’s ChatGPT.
Tongyi Qianwen 2.0, according to Alibaba, is a “substantial upgrade from its predecessor,” which was unveiled in April.
Tongyi Qianwen 2.0 “demonstrates remarkable capabilities in understanding complex instructions, copywriting, reasoning, memorizing, and preventing hallucinations,” according to a statement from Alibaba. AI that gives false information is referred to as a hallucination.
As it focuses on enterprises, Alibaba has also released AI models built for specific industries and needs, such as legal counseling and banking.
The Hangzhou-based company also unveiled the GenAI Service Platform, which allows businesses to create their own generative AI applications using their own data. One of the concerns that organizations have with publicly available generative AI technologies like ChatGPT is that data may be accessible by third parties.
Alibaba and other big cloud providers are providing tools for businesses to construct their own generative AI products using their own data, which will be safeguarded as part of the service package.
Two competing services are Microsoft’s Azure OpenAI Studio and Amazon Web Service’s Bedrock.
While Alibaba is the largest cloud player in China by market share, the corporation is making an effort to match up with Amazon and Microsoft on a global scale.
Do Follow: CIO News LinkedIn Account | CIO News Facebook | CIO News Youtube | CIO News Twitter
About us:
CIO News, a proprietary of Mercadeo, produces award-winning content and resources for IT leaders across any industry through print articles and recorded video interviews on topics in the technology sector such as Digital Transformation, Artificial Intelligence (AI), Machine Learning (ML), Cloud, Robotics, Cyber-security, Data, Analytics, SOC, SASE, among other technology topics.