In general, generative AI is artificial intelligence that produces new information, from text, images, music, and even programming code, based on learning from data. A classic example is GPT by OpenAI that is used to support solutions such as ChatGPT. These models involve working out certain pattern and relationship into data to produce what closely resembles human response. For example, GPT models can analyze an entire article to create a similar sounding piece, engage in conversations or write computer code.
By 2024, generative AI extends well beyond writing to applications including video making, game design, as well as, healthcare where it aids in mimicking molecules for the development of a drug. This technology is also taking the art world by storm — AI art, music, and graphic designing are now being used for profession and increases efficiency as well as creativity.
It is also worthy to consider the cases of generative AI application in software development. Contemporary developers leverage these models to replace coding tasks with predominant automated-generation, bug-detection or generation of whole programs where the specifications, amounting to high-level algorithms, are given–a technique capable of changing the way software is designed and constructed.