How can developers choose open source resources more rationally?

Liu Yang said that the choice of open source software will consider four aspects. "The most important thing is the degree of matching between technology and demand. The second is stability. We will judge the service classification and open source capability maturity model of software. The third is ecology. How many developers and users will enter this ecological environment. Finally, the enthusiasm of the person in charge of the open source system will also affect the decision. "

August 3, 20654381day, the third day of the World Artificial Intelligence Conference was held. Liu Yong, Chief Technology Officer of Xiaohongshu, participated in the roundtable forum of WAIC Developer Day, and discussed the open source topics related to software development and artificial intelligence with the participants. Internet products provide services rather than selling software, so open source products will not affect the company's business model, but may be helpful to recruitment and other aspects. Secondly, cloud computing has developed very rapidly in recent years. When you choose which cloud computing service to use, you need more open source software to grasp the standards and show your strength.

When talking about the application prospect of open source software in the field of artificial intelligence, Liu Yang pointed out that the spirit of open source is knowledge sharing and mutual benefit, but the application should pay attention to enough investment in data science, so that products can form their own positive algorithm value. In the future, Xiaohongshu also hopes to have the opportunity to contribute to artificial intelligence open source technology.

Xiaohongshu is a lifestyle platform established in Shanghai on 20 13. At present, there are more than 300 million registered users, and monthly users exceed 1 100 million, of which 70% are post-90 s users. As a lifestyle community, users here record their daily lives in the form of videos, pictures or words. In the community, banknotes are exposed more than 3 billion times a day, 70 of which are banknotes made by ordinary users. Little Red Book widely uses artificial intelligence technology in three scenes: content recommendation, search and content understanding.