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Generative AI Part 2 Video Lecture | Artificial Intelligence (AI) for Class 9

FAQs on Generative AI Part 2 Video Lecture - Artificial Intelligence (AI) for Class 9

1. What is Generative AI and how does it work?

Ans. Generative AI refers to algorithms that can create new content, such as text, images, music, and more, based on the data they have been trained on. These models, like GPT (Generative Pre-trained Transformer), analyze patterns in the input data and use that information to generate original outputs that resemble the training data.

2. What are some applications of Generative AI?

Ans. Generative AI has a wide range of applications, including content creation (like writing articles, generating stories, or producing artwork), enhancing creative processes in music and film, automating design tasks, and even in fields like healthcare for generating synthetic medical data for research.

3. What are the ethical considerations surrounding Generative AI?

Ans. Ethical considerations include issues like copyright infringement, the potential for misinformation, and the creation of biased or harmful content. It's important for developers and users to consider the implications of using generative models and to implement guidelines that promote responsible use.

4. How does Generative AI differ from traditional AI?

Ans. Traditional AI often focuses on analyzing and predicting outcomes based on existing data, while Generative AI goes a step further by creating new content. This ability to generate novel outputs makes it distinct from traditional AI, which is primarily concerned with classification and regression tasks.

5. Can Generative AI be used for educational purposes?

Ans. Yes, Generative AI can be used in educational settings for personalized learning experiences, creating interactive content, assisting in language learning, and providing tutoring support. It can help educators develop customized resources tailored to the needs of individual students.

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Oct 09, 2025 Last updated

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