A glance at in-context learning  

作　　者：Yongliang WU Xu YANG 

机构地区：[1]School of Computer Science&Engineering,Key Lab of New Generation Artificial Intelligence Technology&Its Interdisciplinary Applications(Ministry of Education),Southeast University,Nanjing 211189,China

出　　处：《Frontiers of Computer Science》2024年第5期231-232,共2页计算机科学前沿（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China(Grant No.62206048);Natural Science Foundation of Jiangsu Province(BK20220819);Young Elite Scientists Sponsorship Program of Jiangsu Association for Science and Technology(Tj-2022-027);the Big Data Computing Center of Southeast University.

摘　　要：The advent of large scale models such as CLIP[1],GPT-2[2],and GPT-3[3]has marked a significant shift in the field of Artificial Intelligence(AI).Unlike the early days of Al,characterized by the design of distinct models or the utilization of pre-trained models for fine-tuning in specific tasks,these modern models adopt a unified approach.

关 键 词：SUCH HAS UNIFIED 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]