AI use cases and applicationsFull notesSummaryRingkasanStoriesPracticeGenerative AI3 exam-style questions on this lesson.Question 1 of 3What does generative AI do that traditional machine learning does not?ACreates new content such as stories, images, and codeBPredicts categories for new data from labeled examplesCGroups unlabeled data into clusters of similar itemsDStores structured data in relational databasesCheck answerQuestion 2 of 3A company wants to use one deep learning model for a new writing task without retraining or fine-tuning it. Which property of generative AI makes this possible?AIt only works when every example has a labelBIt can take on new tasks without retrainingCIt needs a separate model trained for each taskDIt works only with images and video, not textCheck answerQuestion 3 of 3Generative AI is a subset of which field?ARule-based systemsBRelational databasesCDeep learningDReinforcement learning onlyCheck answerMachine Learning Techniques and Use Cases10 exam-style questions on this lesson.Capabilities of Generative AI7 exam-style questions on this lesson.