Generative AI uses algorithms to create new and realisticcontent, like text, images, or audio, based on training data. The best generative AI algorithms are built on top of foundation models that are trained on a large amount of unlabeled data to identify patterns for various tasks.
GPT-3.5 is a model trained on lots of text and can be usedfor answering questions, summarizing text, or analyzing sentiment. DALL-E is a model that can create images, make images bigger, or make variations of paintings.
Generative AI can speed up AI adoption, even inorganizations without much AI expertise. Customization still requires expertise, but using a generative model for a specific task can be done with little data or through APIs or prompt engineering. Generative AI has three main
capabilities:
- Generate ideas and content
- Improve efficiency by automatingtasks
- Personalize experiences for specific audiences
AI models have been trained on internet data, including copyrighted materials, leading to a need for responsible AI practices.