This year, AI large models can be regarded as hot. In foreign countries, ChatGPT has set off a boom in large model investment, and in China, with the appearance of Wen Xin's words, a number of artificial intelligence large models have sprung up, and more big coffee companies and start-ups are constantly entering the game. The "100-model hegemony" seems to have begun.
With the continuous development of artificial intelligence technology, the competition in the large model market will become increasingly fierce. In this market, all types of applications have the potential to be successful. So, which applications will be more promising?
First, natural language processing (NLP) applications will continue to dominate. With the continuous development of artificial intelligence technology, the market demand for NLP applications is also growing. For example, applications such as intelligent customer service, intelligent writing, and machine translation will all benefit from the development of artificial intelligence big models.
Secondly, computer vision (CV) applications will also have broad market prospects. CV applications have a wide range of applications in many fields, such as autonomous driving, security monitoring, medical imaging diagnosis, etc. With the deepening of the application of artificial intelligence large models in the CV field, the market demand for CV applications will continue to grow.
Third, intelligent voice interaction applications will also have huge market potential. With the popularity of smart homes, smart speakers and other devices, the market demand for intelligent voice interaction applications is also growing. Artificial intelligence large models can help intelligent voice interaction applications more accurately recognize voice commands and improve user experience.
Fourth, the application of recommendation system will also benefit from the development of artificial intelligence large models. Recommendation system applications are widely used in e-commerce, social media, news and other fields. Artificial intelligence large models can help recommendation systems predict users' interests and needs more accurately and improve the recommendation effect.
In industrial applications, some specific types of AI large model applications may have more application prospects.
Intelligent O&M applications will be more widely used. Intelligent O&M applications empowered by artificial intelligence models can help enterprises improve the O&M efficiency and reliability of IT systems, reduce costs, predict system failures more accurately, and improve O&M efficiency. At present, in the operator industry, intelligent operation and maintenance applications have begun to become popular.
For example, in Guangdong Telecom, there are already staff and intelligent operation and maintenance applications that have realized the inspection process of "human-machine collaboration", which is fully automated and intelligent.
In the past, the daily maintenance and inspection of Zhongshan Telecom's cloud-network operation and maintenance center was very complicated and cumbersome. Including cross-system data interaction operation, data report and platform data report production, as well as manual maintenance, inspection, monitoring and other work of multiple cloud platforms. These tasks are repetitive, labor-intensive, and error-prone. Once an error occurs, it often directly affects the quality of network service.
However, after the use of intelligent operation and maintenance applications and manual collaborative inspection processes are fully automated and intelligent, these daily maintenance inspections have changed from daily manual system inspections to digital employees on duty 24 hours a day. The intelligent O&M application can automatically obtain data and alarm information, form inspection reports through early warning analysis, and support dynamic real-time display of automatic alarms and important inspection data. Increase the inspection efficiency by more than 10 times.
Artificial intelligence large models have broad application prospects in the field of medical and health care. For example, diagnostic image recognition, disease prediction, drug development, etc. can use large models for accurate diagnosis and treatment. With the continuous accumulation of medical data and the continuous optimization of algorithms, applications in the medical and health field will maintain a strong growth momentum in the future.
The application of artificial intelligence large models in the financial industry is also very extensive, including risk assessment, credit scoring, fraud detection, investment advice and other aspects. Big models can help financial institutions better understand and manage risk, provide more accurate investment advice, and improve the customer experience. With the continuous development of financial technology and the gradual improvement of regulatory policies, the application of the financial industry will have greater room for development.
In the field of education, artificial intelligence big models also have great potential. For example, intelligent assisted teaching systems, adaptive learning platforms, student assessment and feedback systems can all be optimized using large models. The large model can provide customized learning solutions according to the individual needs and learning progress of students, so as to improve the learning effect. With the continuous advancement of education informatization and the strengthening of policy support, applications in the field of education are expected to achieve rapid development.
It is foreseeable that the market competition for artificial intelligence large models will be very fierce in the future. However, applications in healthcare, finance, education, and other fields are expected to maintain strong growth momentum in the future. The growing demand in these fields provides good opportunities for the development of artificial intelligence large models, and also provides broad prospects and money.
At present, many artificial intelligence large model applications have officially lifted the veil of half-cover and entered the public eye. Wen Xin announced that it was fully open to the whole society; SenseTime's natural language app "SenseChat" is also officially open to users; Alibaba's "Tongyi Qianwen" large model has completed the filing work and will be officially launched.
Huawei's Pangu model has been applied to mobile terminals. With the support of the Pangu model, the Xiaoyi Intelligent Assistant in Huawei terminals not only makes terminal interaction and command dialogue more natural and smooth, but also makes information retrieval and content generation involved in work scenarios more efficient. The most important thing is that it can be combined with scenario-based services to provide personalized services.
From these trends, it can already be seen that the industry widely recognizes the great potential of large model technology applications. There should be more new and interesting applications in the future to unleash greater creativity. Artificial intelligence large model application, "dry" up!