Lenovo Group CEO Yang Yuanqing: For the first time, artificial intelligence technology has become so real

On October 24, Lenovo Group announced its most comprehensive artificial intelligence product technology to date and its "AI for All" vision at Tech World. This year's event is the 9th held by Lenovo, focusing on how Lenovo unleashes the power of artificial intelligence to promote intelligent transformation in all aspects of people's lives and every industry - from pockets to the cloud, providing dedicated services to industries, enterprises and individuals around the world. of artificial intelligence equipment, infrastructure, solutions and services.

Yang Yuanqing, chairman and CEO of Lenovo Group, said that for the first time, artificial intelligence technology has become so real and closely related to everyone and every company. While rejoicing in technological progress, we have also begun a deeper exploration.

Lenovo Group CEO Yang Yuanqing: For the first time, artificial intelligence technology has become so real

​What “key but intangible” elements support generative artificial intelligence and large language models to work? There is no doubt that data, as the product of the first stage of digital transformation, is essential. Algorithm/model-based training and inference are key, but at the same time, computing power is indispensable, not only on the cloud, but also on the edge and on the device with more powerful computing power.

To create panoramic artificial intelligence, we need “from pocket to cloud” computing power and various forms of applications, and solutions for different industries are also critical.

There is a dilemma here. If the user wants the public model to have the correct and appropriate content when it answers your questions or talks to you, then you must truly tell it what you really think. Records and data, but in that case, the user's personal data and even privacy as well as the company's trade secrets will become part of the public information.

People not only want to have the ability to answer questions with large models, but also want their data to be kept only on their own devices or within their own companies. How can we achieve "both - and want"? The answer is obviously not limited to public large models, we can achieve it through personal large models and enterprise-level large models.

Lenovo’s large model compression technology allows our own smart terminals and devices to have the ability to run personal-level large models. On these terminals and edge devices that support artificial intelligence functions, local knowledge bases will be built to better understand users. Personal large models will use personal data stored on devices or home servers for inference. Users' personal data will never be shared or sent to the public cloud unless authorized by the user, thus ensuring personal privacy and data security.

Enterprise-level large models will coexist with public large models and public clouds, forming a hybrid form and hybrid deployment of artificial intelligence. This hybrid trend has already emerged in many scenarios, such as hybrid offices and digital office spaces. (Kevin)