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生成型人工智能实战教学
书籍

生成型人工智能实战教学

生成型人工智能改变商业与社会的超百种惊人方式

Wiley, 2024 plus...

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关键特征

  • 解析性
  • 开眼界
  • 引人入胜

导读荐语

随着生成型人工智能(GenAI)在各个领域的应用越来越普及,它有可能大幅改变人类日常生活的体验。但未来学家伯纳德·马尔(Bernard Marr)警告说,尽管生成型人工智能能够为公司带来竞争优势,但也可能在社会层面和组织层面带来意想不到的危害。他认为,生成型人工智能将对多个行业造成颠覆性影响,特别是医疗、软件开发等行业。通过对这些领域的洞察,马尔将加深你对生成型人工智能潜在风险和好处的认识。生成型人工智能将带我们去怎样的未来?马尔就此提出了多种可能,其中既有令人担忧的反乌托邦,也有充满希望的前景。他呼吁人们应当积极利用这种技术,采取负责任的态度,确保其推动社会正向发展。马尔强调社会需要文化层面的转变,以更加开放和包容的心态接纳这一技术,利用它激发创新,促进各方合作。

浓缩书

生成型人工智能飞速进步,对我们的工作和生活产生深远且巨大的影响。

机器能够展现类人智能的想法可以追溯到1950年。当时英国计算机科学家、数学家和逻辑学家艾伦·图灵(Alan Turing)提出了著名的图灵测试,衡量机器是否具备类人智能。图灵提出,只有当人类无法轻易分辨出机器和人类的区别时,机器才算具备智能。在1970年代和1980年代,尽管当时已经有人尝试创建所谓的专家系统,即模拟专家决策的程序,但这些系统只能依赖预设的规则和编程进行判断,无法根据新的数据或环境情况来自我学习。1990年代,互联网爆炸性增长带动了许多相关技术的飞速发展,特别是在数据预测分析和数据挖掘领域。伴随着2000年代初期大数据的爆发和2010年代深度学习的引入,此前的积累为今天的生成型人工智能模型奠定了基础。

如今,生成型人工智能展现出强大的创造力。这得益于神经网络的发展,尤其是生成模型。这些模型实现了人类曾经认为机器无法做到的事情,突破了机器创造的边界。像谷歌的对话应用语言模型(LaMDA)和 ChatGPT 这样的模型,使得生成型人工智能可以进行高度复杂的对话,足以证明机器通过了图灵测试。生成型人工智能对社会各个层面产生了深远的影响。它不仅改变了医疗为代表的传统行业的运作模式,还影响了人际关系和人与世界的互动方式。正因此,人类必须准备好应对人工智能带来的变革,解决技术带来的潜在风险,充分利用其价值。

关于作者

未来学家伯纳德·马尔(Bernard Marr)是多本畅销书的作者,包括《生成型人工智能实战教学》(Artificial Intelligence in Practice)、《实践中的科技趋势》(Tech Trends in Practice)和《未来技能》(Future Skills)。他还是政府和企业的战略顾问。


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