1.WHAT IS GENERATIVE AI?
Generative AI is a type of artificial intelligence that uses machine learning algorithms to create new and original content or data. Generative AI works by training a model on a large data set and using that model to generate new, previously unseen content similar to the training data.

2.WHICH KIND OF USES IN GENERATIVE AI?
•Computer Graphics: Create realistic images and animations using generative AI.
•Music and art: Use generative AI to compose music and create art.
•Speech and content: Generative AI can be used to generate natural language text. •Medical and pharmaceutical research: AI-powered pharmaceutical research has the potential to significantly speed up the drug research process.
•Robotics: Generative AI can be used to design and control robotic systems.

3.WHY GENERATIVE AI HAVE ISSUES?
While this can increase efficiency and reduce costs, it can also put people previously employed in these roles out of work. This can lead to a decline in cognitive performance across the population. This is especially true among toddlers who see AI as a friend to do their homework on. As a result, people may rely less on their skills and more on technology to accomplish their tasks.
This may include implementing rigorous data processing and storage practices and developing techniques to remove sensitive information from training data. It also facilitates collaboration between humans and her AI in the decision-making process. In this case, AI can be used as a support system while humans make the final decisions, allowing humans to remain in control of the outcome.