In NLP, generative AI brings one of the most significant differences to this picture: huge amounts of textual data for researchers. Models such as GPT-3 have the ability to be comparable to human writing, opening up many possibilities for more applications in academic research. AI-based models were used to write abstracts of this academic article, write research proposals, and other matters aimed at facilitating the application of peer reviews.
Generative AI has made huge strides in the creative industries. This helped artists and reached new possibilities. The most interesting example of a model capable of producing images by taking descriptions from text is the OpenAI DALL-E. Below is an overview of the extent of the potential of generative AI in the field of art. With DALL-E, users or researchers and digital artists are therefore able to create much more personalized and effective creative artwork based on prompts.
Similarly, in the music industry, AI models like OpenAI’s MuseNet have been used to compose original music tracks in various genres.