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• Scalability: Generative AI is a powerhouse when it comes to creating
lots of content in a short time. It's like having a super-speedy content
creator that can churn out stuff on a large scale without breaking a
sweat. This makes it perfect for businesses and organisations that need
to produce heaps of content, whether it's articles, images, videos, or
anything else. With Generative AI, scaling up content production is
a breeze, helping businesses keep up with demand and reach more
people without sacrificing quality.
Limitations of Using Generative AI
Some disadvantages of Generative AI are as follows:
• Data bias: When Generative AI learns from biased or incomplete data, it tends to reflect those biases in its
output. This means the results may be skewed or flawed, especially in critical areas like facial recognition or
natural language processing, where accuracy is paramount.
• Uncertainty: Generative AI has a knack for surprising us with unexpected results. While this can sometimes
lead to exciting discoveries, it can also be a bit of a mixed bag, as the outcomes can be unpredictable.
• Computational demands: Generative AI isn't shy about its appetite for computational power. It demands
hefty resources for training and generating output, which can be both expensive and time-consuming. So,
while it's undeniably powerful, it can also drain the resources.
Task #Experiential Learning
GAN Paint CBSE Handbook
Link: https://ganpaint-v2.vizhub.ai/
● GAN Paint directly activates and deactivates neurons in a deep network
trained to create pictures.
● Each left button ("door", "brick", etc.) represents 20 neurons.
● The software shows that the network learns
about trees, doorways, and roofs by drawing.
● Switching neurons directly shows the
network's visual world model.
● To use GAN Paint, you will first need to select
a base image from the website's library. You
can then use the brush tool to add objects
and textures to the image. As you paint, the
GAN network will learn to generate more
realistic images.
● You are encouraged to experiment with GAN
Paint and see what you can create. Have fun!
Introduction to Generative AI 339

