automatic generation

简明释义

自动生成;

英英释义

例句

1.The system uses automatic generation to create unique passwords for each user.

该系统使用自动生成为每个用户创建唯一密码。

2.The software features automatic generation of reports, saving time for users.

该软件具有自动生成报告的功能，为用户节省时间。

3.The application allows for automatic generation of code snippets to enhance productivity.

该应用程序允许自动生成代码片段以提高生产力。

4.With automatic generation, invoices can be created without manual input.

通过自动生成，发票可以在没有手动输入的情况下创建。

5.Our platform supports automatic generation of marketing content based on user preferences.

我们的平台支持根据用户偏好进行自动生成营销内容。

作文

In today's fast-paced digital world, the concept of automatic generation (自动生成) has become increasingly important across various sectors. This term refers to the process by which systems or software produce outputs without the need for human intervention. From generating reports to creating complex data visualizations, automatic generation plays a crucial role in enhancing efficiency and productivity. One of the most significant applications of automatic generation is in content creation. For instance, news organizations are now employing algorithms that can write articles based on data inputs. These algorithms analyze real-time information and generate coherent narratives, allowing journalists to focus on more in-depth reporting and investigative work. By utilizing automatic generation, media outlets can deliver timely updates on events, ensuring that audiences are well-informed. Moreover, in the realm of software development, automatic generation is transforming how code is written. Tools like code generators can automatically create boilerplate code, which is often repetitive and tedious for developers. This not only saves time but also reduces the likelihood of errors, leading to more reliable software. As a result, developers can allocate their resources towards more critical aspects of their projects, such as innovation and user experience design. Another area where automatic generation has made a significant impact is in marketing. Businesses are leveraging automated tools to generate personalized content for their target audiences. By analyzing customer data, these tools can create tailored emails, advertisements, and social media posts that resonate with individual preferences. This level of personalization enhances customer engagement and can significantly boost conversion rates. However, while automatic generation offers numerous advantages, it is essential to consider the ethical implications associated with its use. For example, the rise of automated content creation raises questions about originality and copyright. If an algorithm generates an article, who owns the rights to that content? Furthermore, there is a risk of spreading misinformation if the algorithms are not adequately monitored and controlled. Therefore, it is vital for organizations to establish guidelines and frameworks to ensure that automatic generation is used responsibly and ethically. In conclusion, automatic generation (自动生成) is revolutionizing various industries by streamlining processes and enhancing productivity. Its applications in content creation, software development, and marketing illustrate its potential to transform how we work and communicate. However, as we embrace this technology, we must remain vigilant about the ethical considerations it entails. Balancing innovation with responsibility will be key to harnessing the full benefits of automatic generation while mitigating its risks.

在当今快节奏的数字世界中，自动生成（automatic generation）这一概念在各个领域变得越来越重要。这个术语指的是系统或软件在没有人类干预的情况下生成输出的过程。从生成报告到创建复杂的数据可视化，自动生成在提高效率和生产力方面发挥着至关重要的作用。自动生成的一个重要应用是在内容创作中。例如，新闻机构现在正在使用算法根据数据输入撰写文章。这些算法分析实时信息并生成连贯的叙述，使记者能够专注于更深入的报道和调查工作。通过利用自动生成，媒体可以及时更新事件，确保受众获得充分的信息。此外，在软件开发领域，自动生成正在改变代码编写的方式。像代码生成器这样的工具可以自动创建样板代码，而这些代码往往是重复且乏味的。这样不仅节省了时间，还减少了出错的可能性，从而导致更可靠的软件。因此，开发人员可以将资源分配到项目的更关键方面，例如创新和用户体验设计。自动生成还有另一个重要影响的领域是市场营销。企业正在利用自动化工具为目标受众生成个性化内容。通过分析客户数据，这些工具可以创建量身定制的电子邮件、广告和社交媒体帖子，与个人偏好产生共鸣。这种个性化程度增强了客户参与度，并能显著提高转化率。然而，尽管自动生成提供了许多优势，但考虑其使用的伦理影响也至关重要。例如，自动化内容创作的兴起引发了有关原创性和版权的问题。如果一个算法生成了一篇文章，那么这篇内容的所有权归谁？此外，如果算法没有得到适当的监控和控制，就有传播错误信息的风险。因此，组织必须建立指导方针和框架，以确保负责任和伦理地使用自动生成。总之，自动生成（automatic generation）正在通过简化流程和提高生产力来革新各个行业。在内容创作、软件开发和市场营销中的应用展示了它改变我们工作和沟通方式的潜力。然而，随着我们接受这项技术，我们必须对其所带来的伦理考虑保持警惕。平衡创新与责任将是充分利用自动生成的全部好处，同时减少其风险的关键。