generative

简明释义

英[ˈdʒenərətɪv]美[ˈdʒenərətɪv]

adj. 有生产力的，有生殖力的；（语言学）生成的

英英释义

单词用法

同义词

反义词

例句

1.In the digital arena, generative qualities add value to free copies, and therefore are something that can be sold.

在数字竞技场上，生财要素为免费拷贝增添了价值，因而成为能卖钱的东西。

2.Mr Zittrain calls it "generative" : people can tinker with it, creating new services and elbowing existing ones aside.

紫泉先生称之为“生产性”：人们可以对他进行小修小补，建立新的服务让现有的靠边站。

3.Generative grammar 's concern of lexical meaning and syntactical interface is comprised of three stages.

生成语法对词汇语义与句法界面的关注大致可以分为三个阶段。

4.Skin: Multiple generative steps were developed to form a continuous, structurally performing skin system.

表层：设计师开发了多个生成步骤来形成连续的结构性的表层系统。

5.While combining transformational generative grammar and grammatical means, the study booms applied linguistic theory.

同时，结合生成理论和语法手段，繁荣应用语言学理论。

6.Beta versions are often de-valued because they are incomplete, but they also possess generative qualities that can be sold.

Be ta版通常不值钱，因为是还没完成的产品，但它同时也有能被销售的生财要素。

7.In Galen's model each element of the generative system is common to both women and men, a mirror image of each other.

在加伦的模型中，生殖系统中的任何要素在男女那里都是共有的，如镜子内外两面是完全相同的一样。

8.A generative value is a quality or attribute that must be generated, grown, cultivated, nurtured.

生财要素就是一种需要被产生、成长、培养与呵护的特质或属性。

9.The new AI model is a powerful generative 生成的 tool for creating realistic images.

这个新的人工智能模型是一个强大的生成的工具，可以创建逼真的图像。

10.Researchers are exploring generative 生成的 algorithms in the field of music composition.

研究人员正在探索音乐创作领域的生成的算法。

11.This generative 生成的 design process allows architects to create innovative building structures.

这个生成的设计过程使建筑师能够创造创新的建筑结构。

12.The generative 生成的 adversarial networks (GANs) have revolutionized image synthesis.

对抗性网络（GANs）的生成的特性彻底改变了图像合成。

13.In video games, generative 生成的 content can enhance the replayability and user experience.

在视频游戏中，生成的内容可以增强可重玩性和用户体验。

作文

The concept of generative design has revolutionized various fields, especially in technology and art. In essence, generative refers to the ability to produce or create something new through a set of rules or algorithms. This idea is not just limited to computer programming; it extends into the realms of music, visual arts, and even writing. The beauty of generative processes lies in their capacity to yield unexpected results, often leading to innovation and creativity that would not have been possible through traditional methods. In the field of architecture, for instance, generative design allows architects to input specific parameters such as materials, dimensions, and environmental factors into software that then produces a variety of design options. This process enables architects to explore numerous possibilities quickly, ultimately leading to more efficient and sustainable building solutions. The generative approach encourages a collaborative dialogue between human creativity and machine intelligence, fostering an environment where both can thrive. Similarly, in the world of music, generative algorithms can compose original pieces based on pre-set styles or genres. Musicians can use these tools to experiment with sounds and structures that they might not have considered otherwise. For example, software like Sonic Pi allows users to write code that generates music, enabling an interactive experience where the boundaries between musician and machine blur. This generative aspect of music composition opens up new avenues for artistic expression and challenges our understanding of authorship in art. Moreover, the literary world has also embraced generative techniques. Writers can utilize algorithms to generate poetry or prose, creating works that are both surprising and engaging. Projects like "Bot or Not" challenge readers to discern whether a text was written by a human or a machine, highlighting the capabilities of generative writing systems. This not only raises questions about creativity and originality but also invites discussions about the nature of language itself. The implications of generative technologies extend beyond art and design. In the realm of artificial intelligence, generative models such as Generative Adversarial Networks (GANs) are used to create realistic images, videos, and even deepfake content. These advancements showcase the power of generative processes in transforming data into meaningful outputs. However, they also present ethical dilemmas regarding authenticity and misinformation, prompting society to consider the consequences of such technologies. In conclusion, the term generative encompasses a wide array of applications across different disciplines. Whether in architecture, music, literature, or artificial intelligence, generative processes foster creativity and innovation by allowing for the exploration of new ideas and forms. As we continue to navigate this evolving landscape, it is crucial to understand the potential and limitations of generative technologies. Embracing this concept not only enhances our creative endeavors but also helps us critically engage with the tools that shape our future. Ultimately, the generative paradigm invites us to rethink our relationship with creation and to embrace the unknown possibilities that lie ahead.

“生成”这一概念已经彻底改变了各个领域，尤其是在科技和艺术方面。实际上，“生成”指的是通过一套规则或算法产生或创造新事物的能力。这个理念不仅限于计算机编程，它还扩展到音乐、视觉艺术甚至写作的领域。“生成”过程的美在于它能够产生意想不到的结果，常常导致通过传统方法无法实现的创新和创造力。 例如，在建筑领域，“生成”设计使建筑师能够将特定参数（如材料、尺寸和环境因素）输入软件，然后生成各种设计选项。这个过程使建筑师能够快速探索众多可能性，最终导致更高效和可持续的建筑解决方案。“生成”方法鼓励人类创造力与机器智能之间的协作对话，营造出一个双方都能蓬勃发展的环境。 同样，在音乐世界中，“生成”算法可以根据预设的风格或流派创作原创作品。音乐家可以利用这些工具来实验声音和结构，这些声音和结构可能是他们之前未曾考虑过的。例如，Sonic Pi等软件允许用户编写代码生成音乐，启用一种互动体验，使音乐家和机器之间的界限模糊。这种“生成”的音乐创作方式为艺术表达开辟了新的途径，并挑战了我们对艺术创作的理解。 此外，文学世界也接受了“生成”技术。作家可以利用算法生成诗歌或散文，创造出既令人惊讶又引人入胜的作品。像“Bot or Not”这样的项目挑战读者辨别文本是由人类还是机器撰写，突显了“生成”写作系统的能力。这不仅引发了关于创造力和原创性的讨论，还邀请人们思考语言本质的问题。 “生成”技术的影响超越了艺术和设计。在人工智能领域，“生成”模型，如生成对抗网络（GAN），被用来创建逼真的图像、视频甚至深度伪造内容。这些进展展示了“生成”过程在将数据转化为有意义输出方面的力量。然而，它们也带来了关于真实性和错误信息的伦理困境，促使社会考虑这些技术的后果。 总之，“生成”这一术语涵盖了不同学科广泛的应用。无论是在建筑、音乐、文学还是人工智能领域，“生成”过程通过允许探索新思想和形式来促进创造力和创新。当我们继续在这个不断演变的领域中前行时，理解“生成”技术的潜力和局限性至关重要。拥抱这一概念不仅增强了我们的创造性努力，还帮助我们批判性地参与塑造我们未来的工具。最终，“生成”范式邀请我们重新思考与创造的关系，并拥抱未知的可能性。