当前位置:首页 > 报告详情

华北电力大学:生成式人工智能赋能外语学科新发展概念特征与路径(38页).pdf

上传人: AG 编号:609234 2024-03-23 38页 729.05KB

1、 生成式人工智能赋能外语学科新发展:概念、特征与路径 高霄华北电力大学2024年3月23日 生成式人工智能赋能外语学科新发展:概念、特征与路径 高霄华北电力大学2024年3月23日 关键概念关键概念 核心特征核心特征 发展路径发展路径 生成式人工智能是一种特定的神经网络模型架构。还有许多其他的人工智能平台和模型。这些平台提供更广泛更广泛的功能和服务,包括机器学习、计算机视觉、语音识别等,不仅限不仅限于文本生成任务于文本生成任务。关键概念关键概念 核心特征核心特征 发展路径发展路径 人类智能与人工智能人类智能与人工智能Human intelligence refers to the intell

2、ectual capabilities and cognitive abilities.It encompasses a wide range of mental faculties,including reasoning,problem-solving,learning,memory,perception,creativity,emotional understanding,and social skills.Human intelligence allows individuals to acquire knowledge,adapt to new situations,make deci

3、sions,and interact effectively with the world around them.Human intelligence is characterized by its flexibility,adaptability,and the ability to generalize knowledge from one context to another.It involves complex cognitive processes that enable humans to understand and navigate the world,solve prob

4、lems,and engage in abstract thinking.Human intelligence is also closely linked to consciousness,self-awareness,and the subjective experience of the world.Artificial intelligence(AI)refers to the development of computer systems and machines that can perform tasks that typically require human intellig

5、ence.AI aims to create intelligent systems that can perceive,reason,learn,and make decisions,similar to how humans do.Narrow AI(weak AI)focuses on specific tasks and is designed to perform them with high accuracy and efficiency.Examples of narrow AI include voice assistants,image recognition systems

6、,and recommendation algorithms.General AI(strong AI or AGI-artificial general intelligence),refers to AI systems that possess the ability to understand,learn,and apply knowledge across a wide range of tasks and domains,similar to human intelligence.General AI aims to emulate human-like intelligence

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
本文主要探讨了生成式人工智能在赋能外语学科新发展方面的概念、特征与路径。首先,文章介绍了生成式人工智能的概念,强调其能够从现有数据中学习并生成新数据的能力。接着,文章详细阐述了人工智能与人类智能的区别,指出人工智能在特定任务上表现出色,但缺乏人类智能的广泛认知能力和主观体验。然后,文章讨论了人工智能在语言学、文学、翻译学、国别区域研究和比较文学与跨文化研究等领域的应用,展示了人工智能技术在外语学科中的多样化应用前景。最后,文章提出了构建智能化双碳知识库检索平台的设想,并讨论了资源条件建设思路和成果形态。总体而言,文章系统地介绍了生成式人工智能在外语学科发展中的重要作用,并展望了其未来应用前景。
人工智能如何模拟和扩展人类智能? 生成式人工智能在语言学领域有哪些应用? 人工智能如何助力双碳目标实现?
客服
商务合作
小程序
服务号
折叠