Analysis of DeepSeeks Core Technology and its Effect on the Artificial Intelligence Area

As recent years AI model developed, various new technology have been created, causing the AI model field to gradually become more competitive day after day, since it was born in 2023, DeepSeek gain benefit and was able to compete with other big companies using its benefits in code and mathematics advancement, localization and Chinese optimization, free to use, high performance. This thesis will analyze DeepSeeks core technology from its model architecture innovation, technology training and innovation, and performance comparison area. It will also explain DeepSeeks effect on the artificial intelligence area by focusing on DeepSeeks technology development in AI technology, the change in the competitive field of AI companies and ethical problems. In this thesis, we find that DeepSeek's ability to become a leader in the field of AI macromodels in just a few years is due to Deepseek's model architecture innovations, training strategy optimizations, and outstanding key performance, but like all other AI models, DeepSeek have limitations while having various benefits, these limitations include problems with the timeliness of data updates, as well as doubts about the accuracy and completeness of data and data biases.