Generative AI - From Imagination to Reality
Generative AIs are artificial intelligences that are designed to analyze text, images, video and other content formatted for human consumption, and use this data to create additional content that people can read, view, or listen to. ChatGPT from OpenAI is among the most famous examples of a generative AI – the G in GPT stands for “generative.” Generative AIs can accept a wide variety of natural language inputs (text, speech, even gesture), process those requests, and provide a response in the appropriate format, which could be text, video, or audio. That can include intermodal interactions, turning text to speech, for example. People will increasingly rely on generative AIs to provide information and support.
Generative AIs are typically deep-learning models. Deep learning is a specific type of neural network; neural networks are a specific type of machine learning (ML) that are set up to process information in a manner designed to mimic the way brains function. Generative AIs are almost always trained extensively on existing data (research papers, image libraries, music catalogs, fiction, etc.). Generative AIs can also be instructed to generate new content that previously did not exist – a novel, a movie script, an image, even video.
Some of the most common use cases for generative AIs are:
- Personal Assistants
- Voice Assistants – (Alexa enhancements for smart homes)
- Changing appearance on screens (vision related)
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Key Generative AI Applications
