Value Scenarios and Challenges and Future Directions of Pre-trained AI Big Model in the Oil and Gas Field
This paper researches the characteristics,current technological status,and application capability boundaries of Discriminative Artificial Intelligence represented by Machine Learning,Deep Learning,and Knowledge Engineering,as well as AIGC represented by GPT and Sora.It systematically compares the backgrounds,technological principles,and technological characteristics of Discriminative Artificial Intelligence and AIGC,analyzes the current technological status and bottlenecks of AIGC,and summarizes the reasons for Artificial Intelligence Generated Content(AIGC)to further promote the rapid development of the AI industry.Furthermore,it analyzes and predicts the application trends and difficulties of AIGC in the oil and gas industry in the near future.
国家科技期刊平台
NSTL
万方数据
