生成型人工智能:一个历史的视角
Ran He1,2, Jie Cao1, Tieniu Tan1,2
1New Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
National science review
|April 7, 2025
概括
生成型人工智能 (GAI) 已经发展了70多年,最近的进步使内容创作和新的见解成为可能. 本综述对GAI发展进行了分类,并探讨了未来的研究方向.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 生成型人工智能 (GAI) 已经取得了快速进展,使得可以创建文本,图像和代码等多样化的内容.
- GAI提供了超越传统分析工具的洞察力.
研究的目的:
- 提供过去70年来生成人工智能 (GAI) 发展的历史概述.
- 将GAI的成就分类,并确定未来的研究途径.
主要方法:
- 审查GAI的历史和持续发展.
- 将GAI成果分为四种类型:基于规则的,基于模型的,深度生成的和基础模型.
主要成果:
- GAI的进步被分为基于规则的系统,基于模型的算法,深度生成方法和基础模型.
- 已经审查了成功的生成应用程序,突出了当前的挑战.
结论:
- GAI技术具有丰富的历史和多样化的应用.
- 需要进一步的研究,以更好地了解,利用和利用GAI的能力.
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