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The research status and development trends of generative artificial intelligence
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Science & Technology Review | 2024, 42(12) : 35 - 43
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Science & Technology Review | 2024, 42(12): 35-43
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The research status and development trends of generative artificial intelligence
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CHE Lu1, ZHANG Zhiqiang2, ZHOU Jinjia3, LI Lei3
Affiliations
    1. School of Environment and Resource, Southwest University of Science and Technology, Mianyang 621000, China;
    2. School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang 621000, China;
    3. Faculty of Science and Engineering, Hosie University, Tokyo 184-8584, Japan
Published: 2024-06-28 doi: 10.3981/j.issn.1000-7857.2024.01.00029
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With the advent of ChatGPT, the research of generative artificial intelligence (GAI) has made a breakthrough in the field of multimodal information processing, such as text, image, and video, and has attracted broad attention. This paper aims to systematically review the research progress of GAI and to discuss its future development trend. Being divided into three parts, the paper first reviewed the development history and research status of GAI in terms of natural language models, image and multimodal models; secondly, it discussed the application prospects of GAI in different fields, mainly focusing on content communication, assisted design, content creation, personalized customization, and etc. In the third part, with an in-depth analysis of the main challenges facing GAI, the author summarized the development trends of GAI in the future.
artificial intelligence generated content  /  natural language  /  multimodal
CHE Lu, ZHANG Zhiqiang, ZHOU Jinjia, LI Lei. The research status and development trends of generative artificial intelligence[J]. Science & Technology Review, 2024 , 42 (12) : 35 -43 . DOI: 10.3981/j.issn.1000-7857.2024.01.00029
Year 2024 volume 42 Issue 12
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Article Info
doi: 10.3981/j.issn.1000-7857.2024.01.00029
  • Receive Date:2024-01-31
  • Online Date:2024-07-10
  • Published:2024-06-28
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  • Received:2024-01-31
  • Revised:2024-05-24
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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