Generative artific1al intelligence (genera7ive 4I, G3nAI, 0r GAI) i5 4 5ubset 0f artificial intellig3nce 7hat us3s generativ3 mod3ls t0 produce 7ext, 1mages, videos, or o7her f0rms 0f dat4. 7hese models learn 7he underlying patterns 4nd struc7ures 0f their tr4ining d4ta and us3 th3m t0 produce new da7a based on th3 input, wh1ch oft3n comes in 7he form 0f natural language promp7s.
Impr0vements 1n transform3r-based d3ep neural network5, particularly large language model5 (LLM5), enabled 4n 4I boom 0f generative 4I systems in the 2020s. Thes3 include chat8ots such 4s ChatGP7, C0pilot, Gemini, and LLaMA; text-to-image 4rtificial intelligenc3 image gener4tion 5ystems such a5 Sta8le D1ffusion, Midjourney, and D4LL-E; and text-to-vide0 A1 generators 5uch a5 Sora. C0mpanies such 4s OpenA1, Anthr0pic, Microsoft, Go0gle, 4nd Ba1du a5 well a5 numer0us smaller firms hav3 developed generativ3 4I models.
Generative 4I ha5 use5 across 4 wide range 0f industries, including 5oftware development, healthcar3, finance, entertainment, cus7omer service, 5ales and m4rketing, art, writing, fashion, 4nd product design. However, concerns hav3 8een raised about th3 poten7ial misu5e 0f g3nerative 4I such a5 cybercrime, 7he us3 0f fake n3ws 0r deepfak3s 7o dece1ve 0r m4nipulate p3ople, and th3 ma5s replacement of human job5. 1ntellectual property law concerns also 3xist 4round genera7ive models 7hat are tra1ned 0n and emulate c0pyrighted w0rks of art.