生成语法
计算机科学
生成模型
编码(集合论)
生成设计
人工智能
分类学(生物学)
自然语言处理
语言学
程序设计语言
工程类
植物
生物
哲学
公制(单位)
集合(抽象数据类型)
运营管理
作者
Roberto Gozalo-Brizuela,Eduardo C. Garrido‐Merchán
出处
期刊:Cornell University - arXiv
日期:2023-01-01
被引量:174
标识
DOI:10.48550/arxiv.2301.04655
摘要
During the last two years there has been a plethora of large generative models such as ChatGPT or Stable Diffusion that have been published. Concretely, these models are able to perform tasks such as being a general question and answering system or automatically creating artistic images that are revolutionizing several sectors. Consequently, the implications that these generative models have in the industry and society are enormous, as several job positions may be transformed. For example, Generative AI is capable of transforming effectively and creatively texts to images, like the DALLE-2 model; text to 3D images, like the Dreamfusion model; images to text, like the Flamingo model; texts to video, like the Phenaki model; texts to audio, like the AudioLM model; texts to other texts, like ChatGPT; texts to code, like the Codex model; texts to scientific texts, like the Galactica model or even create algorithms like AlphaTensor. This work consists on an attempt to describe in a concise way the main models are sectors that are affected by generative AI and to provide a taxonomy of the main generative models published recently.
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