Unit 4: Introduction to Generative AI (AI Course; Class – IX)-Part 1

In this tutorial, we will cover Unit 4: Introduction to Generative AI of PART B – Subject Specific Skills.

In the table below, we have detailed the division of Unit 4 into subunits and topic descriptions.

4.1 Introduction to Generative AI

Let’s understand and explore some basics of Generative AI.

What is Generative AI?

Imagine a machine that can think like a human brain, be creative, generate new design ideas, write code based on requirements, generate music, create a new art piece, or create images or videos based on stories like we as a kid used to imagine when adults tell us stories.

Generative AI works on the same phenomenon of thinking like humans, based on past experiences and data.

Generative AI is an artificial intelligence system internally based on deep neural networks that focuses on generating new content based on various inputs, resembling human-generated content. The output of the Generative AI model can be text, images, audio, video, music, synthetic data, code, or 3D objects.

Generative AI outputs are divided into 5 types. To understand the various outputs of Generative AI in detail, click on the link below:

Generative AI Use Cases

Activity: Guess the Real Image vs. the AI-Generated Image

Can you differentiate real and AI-generated images from the images below without looking at the answers? Think of reasons as well.

Here, image 2 is AI-generated as it seems too perfect, and the noodles are very neatly organised.

2.

Here, image 1 is AI-generated as the roses in this image seem too perfect and seamless. But in real life, the shape of every rose can’t be so exact and perfect.

Try and have fun!!

You can try to differentiate between more real and AI-generated images at the link below:

You against the machine: Can you spot which image was created by AI?

Generative AI Timelines

Generative AI has grown tremendously over many years to reach its current state. Advancements in neural networks and deep learning have greatly improved their capabilities. Generative AI has evolved through early experiments, breakthroughs in natural language processing, and image generation. Years of research and development in generative AI now include applications such as text generation, image synthesis, voice and video generation, and creative content creation. Major milestones in the evolution of Generative AI are shown below.

Image: Milestones in Generative AI. (Source)

Generative AI vs Conventional AI

Conventional AI was built to analyse, process, and categorize the existing data. It is also trained to do prediction, which means to classify future data based on past data, but it cannot generate new content.

In contrast, Generative AI is specially developed to generate new and unique content like text, art, images, music, code, games, videos, and many others.

4.2 Generative AI Elaboration

Click on the link below for the detailed blog on the second subunit, Generative AI Elaboration.

Unit 4: Introduction to Generative AI (AI Course; Class – IX)-Part 2

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