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What is “Random Noise” dataset? Give an example of it from life around you.
What is Generative AI?
Generative Artificial Intelligence (AI), also known as Gen AI, encompasses algorithms designed to produce new
data closely resembling human-generated content across various forms, including audio, code, images, text,
simulations, and videos. Leveraging existing data and content for training, Generative AI holds promise for
applications spanning natural language processing, computer vision, the metaverse, and speech synthesis. As it
undergoes continuous training with more data, this technology evolves, progressively refining its capabilities. Its
growing popularity stems from the intuitive interaction it enables, allowing users to prompt the AI using natural
language. Notably, the output generated by generative AI often achieves a level of quality indistinguishable
from human creation. Within Generative AI, a "prompt" serves as the initial input or instruction guiding the
AI model in generating desired content. For instance, in a text generation model, a prompt may consist of a
sentence or keywords, while in an image generation model, it could entail a description of the desired image.
#Experiential Learning
Video Session
Scan the QR code or visit the following link to watch the video:
https://www.youtube.com/watch?v=26fJ_ADteHo
This video gives you a clear picture of generative AI. Now answer the following questions:
1. What is your understanding of generative AI?
2. Give two examples of generative AI.
Brainy Fact
Generative AI is now part of the workforce in the US, UK, Australia, and many other parts of the
world.
Introduction to Generative AI 329

