{"id":500194,"date":"2023-07-04T10:22:45","date_gmt":"2023-07-04T08:22:45","guid":{"rendered":"https:\/\/www.scribbr.nl\/?p=500194"},"modified":"2023-08-15T15:43:27","modified_gmt":"2023-08-15T13:43:27","slug":"generative-ai","status":"publish","type":"post","link":"https:\/\/www.scribbr.com\/ai-tools\/generative-ai\/","title":{"rendered":"What Is Generative AI? | Meaning & Examples"},"content":{"rendered":"
Generative AI <\/strong>is the use of artificial intelligence (AI) systems to generate original media such as text, images, video, or audio in response to prompts from users. Popular generative AI applications include ChatGPT, Bard, DALL-E, and Midjourney.<\/p>\n Most generative AI is powered by deep learning<\/a> technologies such as large language models (LLMs). These are models trained on a vast quantity of data (e.g., text) to recognize patterns so that they can produce appropriate responses to the user’s prompts.<\/p>\n This technology has seen rapid growth in sophistication and popularity in recent years, especially since the release of ChatGPT in November 2022. The ability to generate content on demand has major implications in a wide variety of contexts, such as academia and creative industries.<\/p>\n <\/p>\n Generative AI is a broad concept that can theoretically be approached using a variety of different technologies. In recent years, though, the focus has been on the use of neural networks<\/strong><\/a>, computer systems that are designed to imitate the structures of brains.<\/p>\n Highly complex neural networks are the basis for large language models (LLMs)<\/strong><\/a>, which are trained to recognize patterns in a huge quantity of text (billions or trillions of words) and then reproduce them in response to prompts<\/a> (text typed in by the user).<\/p>\n An LLM generates each word of its response by looking at all the text that came before it and predicting a word that is relatively likely to come next based on patterns it recognizes from its training data<\/a>. You can think of it as a supercharged version of predictive text. The fact that it generally works so well seems to be a product of the enormous amount of data it was trained on.<\/p>\n LLMs, especially a specific type of LLM called a generative pre-trained transformer (GPT)<\/strong><\/a>, are used in most current generative AI applications\u2014including many that generate something other than text (e.g., image generators like DALL-E). This means that things like images, music, and code can be generated based only on a text description of what the user wants.<\/p>\n Generative AI has a variety of different use cases and powers several popular applications. The table below indicates the main types of generative AI application and provides examples of each.<\/p>\nHow does generative AI work?<\/h2>\n
Types of generative AI<\/h2>\n