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Generative AI is a rapidly advancing field of artificial intelligence that focuses on creating new content such as text, images, music, and code through algorithms that learn from existing data. Tools like ChatGPT and DALL·E exemplify the transformative potential of Generative AI in various areas including education and creative industries. However, while these technologies enhance creativity and efficiency, users must navigate ethical considerations and limitations to ensure responsible usage.
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References
ch16.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Generative AI
Definition: A branch of AI that creates new content by learning patterns from existing data.
Term: Generative Adversarial Networks (GANs)
Definition: A model that consists of a generator creating data and a discriminator assessing its quality.
Term: Large Language Models (LLMs)
Definition: Models that predict the next word or sentence based on given prompts, trained on extensive textual data.
Term: Applications
Definition: Various fields like education, marketing, and healthcare where Generative AI tools can be utilized.
Term: Ethical Use
Definition: The practice of using AI technologies responsibly with an emphasis on verification and acknowledgment of the AI's role in content creation.