BlownUP!: Introduction to Generative AI Class 9 Questions and Answers

These Class 10 AI Important Questions Chapter 6 Introduction to Generative AI Class 9 Important Questions and Answers NCERT Solutions Pdf help in building a strong foundation in artificial intelligence.

Introduction to Generative AI Class 9 Important Questions

Class 9 Introduction to Generative AI Questions

Important Questions of Introduction to Generative AI Class 9 – Class 9 Introduction to Generative AI Important Questions

Subjective Type Questions

Question 1.
What do you understand about Generative Artificial Intelligence? Give any two examples.
Answer:
Generative Artificial Intelligence refers to AI systems that can create new content, such as text, images, audio, and more, by learning patterns from existing data. Examples include:

GPT-4 A language model developed by OpenAI that can generate coherent and contextually relevant text based on a given prompt.
DALL-E Another AI by OpenAI that generates images from textual descriptions, creating unique visuals based on the input provided.

Question 2.
Write any two Al tools each for the followingGenerative AI image generation tools Generative Al text generation tools Generative AI audio generation tools
Answer:
Generative AI Image Generation Tools

DALL-E Created by OpenAI, it generates images from textual descriptions using deep learning techniques.
Midjourney A research lab and service known for its powerful AI capable of creating art and images based on text prompts.

Generative AI Text Generation Tools

GPT-4 Developed by OpenAI, it generates coherent and contextually relevant text based on user prompts.
Jasper An AI content platform designed to help with copywriting, blog posts, and other text generation tasks.

Generative AI Audio Generation Tools

OpenAI’s Jukedeck An AI tool for creating custom music tracks for various uses, like videos and presentations.
AIVA (Artificial Intelligence Virtual Artist) Composes original music across various genres, often used for soundtracks and media projects.

Question 3.
Give full forms of the following-
1. GANs
2. VAEs
3. RNNs
Answer:
The full forms of the given acronyms are :
1. GANs Generative Adversarial Networks
2. VAEs Variational Autoencoders
3. RNNs Recurrent Neural Networks

Question 4.
How Generative Al can be helpful in following fields-
1. Architecture
2. Coding
3. Music
4. Content Creation
Answer:
Generative AI can be highly beneficial in the following fields
1. Architecture Generative AI can assist in creating innovative design concepts, optimizing structural layouts, and generating complex, sustainable architectural forms that consider environmental factors.

2. Coding It can automate code generation, offer intelligent code suggestions, and debug programs, enhancing developer productivity and reducing the time required for software development.

3. Music AI can compose original music, create accompaniments, and assist in sound design, helping musicians and producers generate new melodies and harmonies or explore novel musical styles.

4. Content Creation Generative AI can produce written content, create graphics, and generate videos, aiding content creators by providing ideas, drafting initial versions, and enhancing creativity and efficiency.

Question 5.
Sakshi has been assigned a homework essay on the topic, “The Impact of Climate Change on Coral Reefs.” The essay requires Sakshi to research and explain various aspects of climate change, such as ocean acidification and rising sea temperatures, and their effects on coral reef ecosystems. His friend suggested using some text generation tool. List some guidelines for Sakshi to prevent misuse of Generative Al and use it constructively.
Answer:
Some guidelines for Sakshi to use generative AI constructively and avoid misuse are:

Use as a Supplement Use AI-generated content as a starting point or for inspiration, not as the final submission.
Verify Information Cross-check AI-generated facts with credible sources to ensure accuracy.
Add Personal Analysis Incorporate personal insights and analysis to make the essay original and reflective of her understanding.
Cite Sources Properly cite any information or ideas derived from AI tools to maintain academic integrity.
Learn from the Content Use the AI output to learn and expand knowledge on the topic, not to bypass the research process.
Edit Thoroughly Review and edit the AI-generated content for coherence, relevance, and alignment with the essay requirements.
Avoid Plagiarism Ensure that the essay is her own work and does not simply replicate AI-generated text.

Question 6.
How do you think generative Al can revolutionize the creative industry, such as art and fashion, by enabling the generation of unique and innovative designs?
Answer:
Generative AI can be a game-changer for creative industries by:

Automating repetitive tasks AI can handle things like generating variations on a theme, freeing up artists to focus on conceptual ideas.
Creating unique designs AI can produce entirely new design elements, pushing creative boundaries.
Democratizing creativity AI tools can allow anyone to create professional-looking content, fostering a wider creative pool.

Question 7.
Considering the ethical challenges associated with generative AI, what are your thoughts on establishing guidelines or regulations to ensure responsible use of these technologies? How can we balance the potential benefits and risks?
Answer:
Generative AI presents exciting possibilities but also ethical landmines. Here’s why guidelines and regulations might be necessary:

Curbing Misinformation Generative AI can create incredibly realistic deepfakes or text that can be misused to spread misinformation. Guidelines could stress transparency about AI-generated content and fact-checking mechanisms.
Taming Bias AI reflects the biases in its training data. Regulations could mandate diverse training datasets and bias detection tools to mitigate unfair or discriminatory outputs.
Protecting Privacy and IP Generative AI might raise privacy concerns if trained on personal data. Regulations could require user consent and data anonymization. Copyright laws might also need revising to address AI-generated content.
Ensuring Accountability Who’s responsible if AI-generated content causes harm? Guidelines could establish accountability for developers and users based on the intended use of the AI.
Balancing benefits and risks requires a nuanced approach :
Transparency Clear labeling of AI-generated content helps users discern real from artificial.
Human Oversight AI should be a tool, not an autonomous decision-maker. Human oversight can ensure ethical application.
Impact Assessments Before deploying generative AI, assess its potential societal impacts to identify and mitigate risks.
Public Education Increasing awareness of generative AI’s capabilities and limitations can help people navigate the information landscape more critically.
Generative AI is a powerful tool, and responsible use is key. By establishing guidelines and fostering open discussions, we can harness its potential for good while minimizing the risks.

Introduction to Generative AI Very Short Answer Type Questions

Question 1.
What is the main function of Generative AI?
Answer:
To create new things based on learned data.

Question 2.
When was the concept of machines reasoning like humans introduced?
Answer:
1950, by Alan Turing.

Question 3.
What was the breakthrough in generative Al in 2014 ?
Answer:
Creation of GANs for high-quality image generation.

Question 4.
What is the key characteristic of deep learning?
Answer:
Learning from vast amounts of unlabeled data.

Question 5.
What is GAN and its function?
Answer:
Generative Adversarial Network, creates new data like images.

Question 6.
What was the milestone in audio generation in 2016?
Answer:
Introduction of WaveNet by DeepMind.

Introduction to Generative AI Short Answer Type Questions

Question 1.
What are some examples of Generative AI models and their applications?
Answer:
Generative AI models like GPT-3, DALL-E, and GANs have various applications. GPT- 3 can generate human-like text, DALL-E creates images from textual descriptions, and GANs produce realistic images. These models find applications in art, design, writing, music composition, and more.

Question 2.
How has Generative Al evolved over the years, and what are some significant milestones in its development?
Answer:
Generative AI has evolved significantly since its inception. Milestones include the creation of ELIZA chatbot in 1964, GANs in 2014 for high-quality image generation, and GPT-3 in 2020 for generating coherent text. These milestones have pushed the boundaries of what AI can achieve creatively.

Question 3.
What are the advantages of using Generative AI in various industries?
Answer:
Generative AI offers benefits like enhanced creativity, automation of tasks, personalized experiences for users, and innovation in fields like healthcare and gaming. It can also lead to cost reduction and improved efficiency in businesses.

Question 4.
What are some popular Generative AI tools available for users, and how can they be utilized?
Answer:
Popular Generative AI tools include GPT-3 for text generation, DALL-E for image generation, and MuseNet for music composition. These tools can be utilized for tasks like content creation, design, code generation, and storytelling, among others.

Question 5.
How do Generative AI models contribute to innovation and problem-solving in various domains?
Answer:
Generative AI models contribute to innovation by generating new ideas, automating tasks, aiding in decision-making through simulations, and optimizing processes. They find applications in drug discovery, game development, language translation, and more.

Introduction to Generative AI Long Answer Type Questions

Question 1.
How has Generative Al evolved over time, and what significant milestones mark its progression?
Answer:
Generative AI has evolved significantly since its inception. Key milestones include the creation of ELIZA in 1964, marking one of the first functioning generative AIs, and the development of GANs in 2014, which revolutionized image generation. Additionally, the introduction of GPT models by OpenAI in 2018 and subsequent iterations like GPT-3 and GPT-4 have propelled text generation capabilities to new heights. These milestones have reshaped the landscape of Generative AI, pushing boundaries and unlocking new creative potentials.

Question 2.
What distinguishes Generative AI from conventional AI, and what advantages does it offer across various industries?
Answer:
Generative AI, unlike conventional AI, relies on data-driven learning to create new content rather than following predefined rules. Its strengths lie in creativity, adaptability, and potential for generalization.

Across industries, Generative AI offers benefits such as enhanced creativity in art and design, efficiency and automation in customer service, personalized marketing, innovation in science and medicine, improved accessibility, problem-solving, and decision-making, enhanced user experience, and economic impact through cost reduction and innovation.

Question 3.
What ethical concerns accompany the use of Generative AI, and what measures can be taken to address them?
Answer:
Generative AI raises ethical concerns such as ownership of generated content, human agency in content creation, bias amplification, misinformation, and privacy risks. To address these concerns, measures like using diverse and representative training data to reduce bias, scrutinizing AI-generated content for misinformation and bias, prioritizing user privacy and consent, establishing clear guidelines on ownership of generative content, and fostering public discussion on the ethical and social implications of Generative AI are essential. These steps can help ensure responsible development and use of Generative AI for the benefit of society.

Introduction to Generative AI Activities

Activity 1

Purpose

To understand the difference between real and AI-Generated Images.
Examine the images and determine whether either of the images is a real image or an AI- generated image. Also, give reasons for your answer.

Introduction to Generative AI Class 9 Questions and Answers 1

Activity 2

The video title, “Intel is unlocking the potential of generative AI”, suggests that the video is about generative AI , a type of artificial intelligence that can create new content, like text, images, or code.

Watch the video
https://www.youtube.com/watch?v=26 fJ_ADteHo and Share your views

Introduction to Generative AI Class 9 Questions and Answers 2

Activity 3

GAN Paint Overview

GAN Paint allows users to interactively modify images by activating and deactivating neurons in a generative adversarial network (GAN).
Each left button (e.g., “door”, “brick”) represents a set of 20 neurons, which can influence the image by drawing relevant elements like trees, doorways, and roofs.
Direct manipulation of neurons provides insight into how the network understands and constructs visual elements.

Steps to Use GAN Paint
1. Select ạ Base Image :

Visit Link: https://ift.tt/dNTBkLv.
Choose a base image from the available library.

2. Modify the Image:

Use the brush tool to add or modify objects and textures on the image.
Select different features from the left button menu (e.g., add a “door” or “brick”).
Observe how the GAN network generates and adjusts the image to create realistic alterations.

3. Experiment and Create :

Try different combinations of features and observe the changes.
Experiment with various textures and objects to see the range of the GAN’s capabilities.
Enjoy the creative process and explore the boundaries of what the GAN can generate.

Before painting

Introduction to Generative AI Class 9 Questions and Answers 3

After draw a tree and clouds in the picture :

Introduction to Generative AI Class 9 Questions and Answers 4

Activity 4

Part 1 Artbreeder

This activity will guide you through generating images using text prompts on Artbreeder.
1. Head to Artbreeder: Open your web browser and visit https://artbreeder.com/.

2. Create a New Image: Click on the “Create” menu in the top bar. From the dropdown menu, select “New Image” under the “Prompter” category.

3. ** Unleash your Creativity:** Now comes the fun part! Think of a cool and descriptive text prompt that sparks your imagination. This prompt will be the inspiration for the AI to generate an image. Here are some examples to get you started :

A majestic waterfall cascading down a mountainside shrouded in mist.
A futuristic city built on the clouds.
A playful pod of dolphins leaping through a bioluminescent ocean.

4. Let the AI Work its Magic Once you have your perfect prompt, type it into the designated field and click on the “Create” button. Artbreeder’s AI will then use your text description to generate a unique image.

5. Experiment and Refine Don’t be afraid to try different prompts and see what kind of results you get. Artbreeder also allows you to refine the generated image using its editing tools.
A majestic waterfall cascading down a mountainside shrouded in mist.

Introduction to Generative AI Class 9 Questions and Answers 5

Part 2 Runway ML

Now, let’s explore the creative potential of Runway ML’s AI Magic Tools.

1. Runway’s Playground Head over to Runway’s website at https://runwayml.com/.
2. Discover the Magic Explore the various AI Magic Tools available on the Runway platform. Each tool offers unique functionalities powered by artificial intelligence.
3. Get Hands-on Choose a tool that piques your interest. Runway provides a user-friendly interface, so follow the tool’s instructions to generate new and exciting content.

Here is the example :

Introduction to Generative AI Class 9 Questions and Answers 6