The Big Model of AI: The New Engine of the Digital Economy
With the development of big data and big computing power, artificial intelligence (AI) has entered the era of big models.
Various intelligent applications based on multimodal information such as natural language, images, and sound are emerging one after another, providing new impetus and opportunities for the integrated development of the digital economy and the real economy.
What is a large model?
Large models refer to deep neural network models with very large parameters that can learn and extract knowledge from massive amounts of data.
Realize the understanding and generation of multimodal information such as natural language, images, and sounds.
For example, Alibaba Cloud Intelligent released the "Tongyi" series of large models, including multiple sub-models in the fields of natural language processing, computer vision, and speech recognition, with a total of 100 billion parameters.
The advantage of the large model is that it has powerful memory ability and generalization ability, which can transfer learning and fine-tuning in different tasks and scenarios to achieve cross-domain and cross-media intelligent applications.
For example, AI products generated based on natural language can generate text content of various types and styles, such as news, novels, poems, lyrics, etc., according to the needs and preferences of users.
The development of large models is inseparable from the support of big data and large computing power.
On the one hand, massive data provides rich training materials and supervision signals for large models, so that large models can capture more knowledge details and semantic associations.
On the other hand, powerful computing power provides an efficient training and inference platform for large models, enabling large models to complete complex computing tasks in a reasonable time.
For example, Alibaba Cloud Intelligent uses the Feitian Cloud operating system to connect millions of servers into a supercomputer, providing 12 EFLOPS (120 billion floating point operations per second) computing power for the "Tongyi" series of large models.
How to build an open source ecosystem?
To promote the innovation and development of AI in mainland China, it is necessary to build an open source and open large-model technology system and ecological environment, so that more people can participate in the research and application of AI technology.
On the one hand, it is necessary to strengthen infrastructure construction, provide public service computing power platforms, and reduce the threshold and cost of AI use.
On the other hand, it is necessary to strengthen technology sharing and exchange, establish a unified training framework and standard interface, and promote innovation and secondary development at the upper level of all walks of life.
For example, Alibaba Cloud Intelligence shares the "Tongyi" series of large models with the society in an open source manner and provides online API services.
In addition, it is necessary to strengthen talent training and cooperation mechanisms, cultivate AI professionals with interdisciplinary vision and innovative spirit, and build a collaborative innovation platform with multi-party participation to promote communication and collaboration between academia, industry and government departments.
How to empower high-quality economic and social development?
As an important infrastructure, key technology, leading industry and enabling engine in the digital economy era, AI will provide the core driving force for the mainland's industrial transformation and upgrading and the development of the digital economy during the 14th Five-Year Plan period.
On the one hand, AI can help improve the production efficiency and product quality of traditional industries, and realize innovative applications in the fields of intelligent manufacturing, smart logistics, and smart agriculture.
On the other hand, AI can help cultivate emerging industries and new formats, and realize innovative development in online education, telemedicine, smart cities and other fields.
To achieve widespread application and deep integration of AI, it is necessary to break down industry barriers between data.
Share, use, and develop data on the premise of complying with national laws and regulations and data security. At the same time, it is necessary to strengthen the ethical and normative construction of AI, ensure the explainability, trustworthiness and controllability of AI, prevent AI risks and challenges, and achieve the sustainable development of AI.
In short, AI big models are the new engine of the digital economy and the infrastructure of the future intelligent society.
We must seize the opportunity, meet the challenge, accelerate the innovation and application expansion of AI technology, and inject intelligent momentum into the high-quality development of the economy and society.
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