Yang Yuanqing: To make artificial intelligence truly land, it is necessary to go through three pillars

Cover News Reporter Meng Mei Yi Yili

On April 18, Lenovo Technology Conference Tech World was held in Shanghai. Yang Yuanqing, Chairman and CEO of Lenovo Group, officially unveiled the new species of AI, "Lenovo officially released the true AI PC series products in the Chinese market, one of which is the Yoga Book 9i in my hand. ”

There are five essential characteristics of a true AI PC, and the PC ushers in a truly personal era

According to Yang Yuanqing, this new AI species has five major characteristics. The first feature is that it is equipped with a personalized AI agent agent - Lenovo Xiaotian. Small days embedded personal large model, can interact with users naturally. It can truly understand your natural language, your intentions, not just mechanically execute code instructions, it is good at learning and reflecting, it can learn from your interactions, and improve itself, it has a superhuman memory, it will never forget your preferences and habits, it knows its own responsibilities and boundaries, it will not disturb you, and it will not reveal your privacy, it can form a logical and rigorous chain of reasoning, break down complex tasks, and make plans. With it, AI is no longer an ethereal device floating in the sky and hiding behind the clouds, but an intelligent assistant full of aura and at your fingertips.

In addition to the built-in Xiaotian agent, it also has powerful local heterogeneous computing power combined with CPU, GPU, and NPU, has the ability to establish a personal knowledge base for each owner, connects to an open AI application ecosystem, and can protect personal data and privacy security.

Yang Yuanqing said that with these five characteristics, the PC will no longer be a personal computer, but an AI personalized computer.

Hybrid AI is the direction of AI popularization and application

Yang Yuanqing said that in the future, the personal model and the enterprise model will coexist and complement each other with the public model in the form of built-in personal agents and enterprise agents, so as to constitute hybrid artificial intelligence, which is the direction in which AI can be popularized and applied.

In real personal life scenarios and organizational operation scenarios, it is not enough to rely on public models. Nowadays, the well-known large language models are mainly public large models running on the public cloud. Undoubtedly, the public model is the result of the rapid development of the underlying core technology of artificial intelligence, and it is the catalyst and accelerator for the popularization of artificial intelligence. However, in practice, its further popularization is limited by network speed, cloud efficiency, and cost considerations.

Studies have shown that the cost of each query of the public model is 10 times higher than that of traditional searches!

The main and more fatal reason hindering the popularization of public large language models is the inherent deficiency of data security and privacy protection. To get an accurate answer from the cloud, you'll have to reveal your true personal data and intentions, and allow that data to become part of public information, which will undoubtedly trigger concerns about personal privacy and corporate information security, which will discourage most people from turning it into a tool they use every day. Therefore, although the public model is good, it is essentially a kind of public intelligence, and to be more widely used, it needs the necessary complements of other AI technologies.

Yang Yuanqing said that it is a large model of the people's congress and the enterprise, as well as the personal agent and enterprise agent developed on the basis of it.

At the previous Lenovo Group 2024/25 fiscal year pledge meeting, Yang Yuanqing, chairman and CEO of Lenovo Group, said that hybrid artificial intelligence will be the trend of the future. The "personal AI twin" and "enterprise-level AI twin" will coexist and complement public AI models, so that hybrid AI can truly be implemented and popularized.

The agent can predict the next task based on its thoughts and behaviors

At the meeting, Lenovo announced that personal agents and corporate agents became the most mentioned keywords, and Yang Yuanqing made a detailed analysis of them:

The personal agent will run on the personal intelligent terminal or edge device through the large model compression technology, receive instructions in a natural interactive way, and better reason and make actions through the information stored on the device such as personal travel records and shopping preferences; it can even predict the next task according to your thinking pattern and behavior frequency, and take the initiative to make suggestions and find solutions independently, such as reminding users to make family vacation plans, timely order replenishment of food, daily necessities and so on. Most importantly, a user's personal data is never shared or sent to the public cloud unless authorized by the user.

When such personal agents are exposed to a variety of smart devices, the smart devices of the future will become a digital extension of each of us.

Similarly, enterprises will benefit from similar enterprise agents. It is scattered in multiple terminal equipment and infrastructure of the enterprise, and will be able to learn and reason about a large amount of data, support enterprise operation decision-making, improve management efficiency, and improve productivity while ensuring information security.

We are working with Alibaba to create AI products, solutions and services

Yang Yuanqing said that the second half of artificial intelligence must be from technological breakthroughs to the stage of landing applications, which requires us to accumulate user feedback in practical applications, continuously improve and continue to innovate. And the key word at this moment is "landing". The way to land is to cover the three pillars of smart devices, smart infrastructure, smart solutions and services.

First of all, for individual users, the most convenient way to obtain the experience of personal agents is to have personal agents built into their own computers, mobile phones and other personal computing devices.

For enterprise customers, the implementation of AI must rely on intelligent infrastructure. Every business, every day, generates a huge amount of data, whether it's from terminal sensors or devices, or from the edge and cloud. This data, like oil, is an important strategic resource for enterprises, which needs to be extracted, transported, and refined.

Therefore, enterprises need servers, networks, and storage devices to put massive amounts of data in place and make the best use of them, and then realize enterprise data intelligence through AI models and algorithms. In the future, we will see that AI will not only run on the public cloud, but also in local data centers, private clouds, hybrid clouds, and even on the edge side, and computing power will be more evenly distributed among the cloud, edge, and device. This means that the implementation of enterprise intelligent twins requires a hybrid infrastructure, and "end-edge-cloud-network-intelligence" is indispensable, and such a technical architecture is the new IT technology architecture that Lenovo strives to build.

Lenovo works closely with many customers and partners to innovate together. Alibaba is an important representative of this. Lenovo has extensive and extensive cooperation with Alibaba in AI PCs and intelligent twin solutions for industries and enterprises.

The design, deployment, management, and maintenance of hybrid intelligent infrastructure is more complex than that of conventional infrastructure, so more comprehensive and systematic service capabilities are required. For the complex data of different industries and different types of enterprises, how to learn and reason about it by cleaning, sorting, and then using appropriate algorithm models, so as to generate intelligence in all aspects of enterprise operation, such intelligent solutions will become a hot new IT application in all walks of life. To this end, Lenovo has established an artificial intelligence professional service team, which continuously summarizes the best practice application solutions in various industries, helps enterprises plan and build intelligent twins, and provides all-round support for enterprise decision-making, so that enterprise customers can maximize the efficiency of operations and decision-making while ensuring data security.

All in all, from equipment to infrastructure to solutions and services, these are the three pillars of Lenovo's AI implementation.

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