- Generative AI and AI are two emerging technologies that are transforming business.
- Generative AI is a specific type of AI that generates content such as text, images, video, and music by analyzing patterns in datasets. It finds application in creative fields like art, music, and product design, as well as in business.
- On the other hand, AI has a broader range of applications, such as improving business processes and boosting data analytics performance.
- Both generative AI and AI use machine learning algorithms, but their goals and purposes differ.
- Generative AI is intended to create new content, while AI has a predictive element that utilizes historical and current data to spot patterns and extrapolate potential futures. Generative AI combines algorithms, large language models, and neural network techniques to generate content based on the patterns it observes in other content. It uses earlier human-generated content as inspiration and taps into massive repositories of content to mimic human creativity.
- Generative AI is being used to augment the work of writers, graphic designers, artists, and musicians by producing fresh material. It can generate legible text on various topics, compose business letters, provide rough drafts of articles, compose annual reports, and generate realistic or surreal images from text prompts.
Source eweek.com
