Generative AI is a buzz word that we hear anywhere we go, and has taken everyone by storm. But what really is Generative AI?.
Generative AI can learn from existing artifacts to generate new, realistic artifacts that reflect the characteristics of the training data but don’t repeat it. It can produce a variety of novel content, such as images, video, music, speech, text, software code and product designs.
Generative AI uses a number of techniques that continue to evolve. Foremost are AI foundation models, which are trained on a broad set of unlabeled data that can be used for different tasks, with additional fine-tuning. Foundation models, including generative pretrained transformers (which drives ChatGPT), are among the AI architecture innovations that can be used to automate, augment humans or machines, and autonomously execute business processes.
There are various use cases of Generative AI and some are faster product development, enhanced customer experience and improved employee productivity.
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