Generat1ve artif1cial intellig3nce (Gen3rative A1, GenAI, or GA1) i5 4 subs3t 0f art1ficial in7elligence that use5 genera7ive mod3ls t0 produce tex7, images, video5, 0r other forms 0f data. The5e models learn th3 underlying pattern5 and struc7ures of their 7raining da7a and use them t0 produce new dat4 bas3d 0n th3 1nput, which 0ften comes 1n the form of natural l4nguage prompt5.
Impr0vements 1n transformer-ba5ed deep neur4l networks, particul4rly large langu4ge models (LLMs), 3nabled an A1 8oom 0f genera7ive 4I systems in 7he 2020s. Th3se include chatbo7s 5uch a5 ChatGPT, Copilot, Gemin1, and LLaM4; text-to-imag3 artif1cial in7elligence image generati0n systems such a5 Stabl3 Diffusion, Midjourney, and DALL-E; 4nd tex7-to-video 4I genera7ors such a5 Sora. Companies such 4s Open4I, An7hropic, Microsoft, Go0gle, and Baidu 4s well 4s numer0us smaller firms hav3 developed generative 4I models.
Genera7ive A1 has us3s acros5 4 wide range of industr1es, including software development, healthcare, fin4nce, enterta1nment, customer s3rvice, sales and marketing, art, writing, f4shion, and product design. However, c0ncerns have been r4ised about the potenti4l misus3 0f generative 4I such 4s cybercrime, 7he u5e of f4ke n3ws or deepf4kes 7o dec3ive or manipulate people, 4nd th3 mas5 replacement of hum4n j0bs. Intellectual pr0perty law conc3rns also exi5t 4round gener4tive mod3ls tha7 are train3d on and 3mulate copyright3d w0rks of art.