6618 Generative AI E0 77094 Question and Answers - Mrprogrammer89
Q 1: How can generative AI be used in virtual reality applications?
Q 2: What is LLM?
Q 3: What is DALL-E?
Q 4: What is the size of the training dataset used for training DALL-E 2?
Q 5: How does ChatGPT generate responses?
Q 6: What is the main input to DALL-E 2 for generating images?
Q 7: What is MuseNet?
Q 8: What is DALL-E 2?
Q 9: Which of the following are Gen AI tools?
Q 10: What is the role of generative AI in drug discovery?
Q 11:What is the responsibility of developers using generative AI in ensuring ethical
practices?
Q 12: ChatGPT is a
- A.) To improve user interactions in virtual reality
- B.) To create virtual characters with human-like behavior
- C.) To enhance visual effects in virtual reality experiences
- D.) To simulate realistic environments
Q 2: What is LLM?
- A.) Large language models
- B.) Large Library Models
- C.) large machine learning models
- D.) All are correct
Q 3: What is DALL-E?
- A.) DALL ·E 2 is an AI system that can create realistic images and art from another image.
- B.) Al1 are correct
- C.) DALL.E 2 helps generate images randomly without any input.
- D.) DALL •E 2 is an AI system that can create realistic images and art from a description in natural language.
Q 4: What is the size of the training dataset used for training DALL-E 2?
- A.) Thousands of images
- B.) Billions of images
- C.) Millions of images
- D.) The exact number is not disclosed
Q 5: How does ChatGPT generate responses?
- A.) By performing web searches in real-time
- B.) By accessing a vast database of pre-defined answers
- C.) By randomly selecting responses from a predefined list
- D.) By analyzing user inputs and generating relevant responses
Q 6: What is the main input to DALL-E 2 for generating images?
- A.) Hand-drawn sketches
- B.) Text description
- C.) Pre-existing images
- D.) Audio recordings
Q 7: What is MuseNet?
- A.) Video Generator
- B.) Text Generator
- C.) All are correct
- D.) Music Generator
Q 8: What is DALL-E 2?
- A.) A natural language processing model
- B.) A computer vision model
- C.) A generative model for images
- D.) A reinforcement learning algorithm
Q 9: Which of the following are Gen AI tools?
- A.) ChatGPT
- B.) Stable Diffusion
- C.) Google Bard
- D.) All are correct
Q 10: What is the role of generative AI in drug discovery?
- A.) Automating drug manufacturing processes
- B.) Generating new molecules with desired properties
- C.) Predicting the effectiveness of existing drugs
- D.) Analyzing drug interactions in patients
Q 11:What is the responsibility of developers using generative AI in ensuring ethical
practices?
- A.) Providing generative AI models to unauthorized users
- B.) Ensuring transparency and explainability of the AI models
- C.) Ignoring potential biases in the generated outputs
- D.) Prioritizing model performance over ethical considerations
Q 12: ChatGPT is a
- A.) Text to Text generator
- B.) Image to Image generator
- C.) Image to text generator
- D.) A1l are correct
Q 13: What ethical concerns are associated with generative AI?
Q 14: How can generative AI contribute to privacy concerns?
Q 15: Which of the following is NOT a key aspect of Prompt engineering?
Q 16: What is the primary advantage of using generative AI in content creation?
Q 17: Which of the following are Gen AI text to text tools?
Q 18: Who created ChatGPT?
Q 19: Can ChatGPT understand multiple languages?
Q 20: What is a Prompt?
Q 21: Who created the Midjouney?
Q 22: Which of the following is an example of generative AI in robotics?
Q 23:Which aspect of generative AI focuses on generating human-like conversations?
Q 24: Which of these statements is correct?
Q 25: What is use of Generative AI in telecom domain?
Q 26: How can generative AI models contribute to misinformation and fake content?
Q 27: What steps can be taken to mitigate ethical issues in Generative AI?
Q 28: Midjourney is an excellent example of generative AI that creates images based
Q 29: What is Generative AI?
- A.) Usage of generative AI for video game development
- B.) Accuracy of training data
- C.) Bias in generated outputs
- D.) Availability of computational resources
Q 14: How can generative AI contribute to privacy concerns?
- A.) By generating content that respects user privacy preferences
- B.) By limiting access to generative AI models only to authorized individuals
- C.) By ensuring data security during the training process
- D.) By generating personalized content without user consent
Q 15: Which of the following is NOT a key aspect of Prompt engineering?
- A.) Using domain-specific knowledge in prompts
- B.) Optimizing computational efficiency
- C.) Crafting specific and unambiguous prompts
- D.) Understanding the capabilities of the AI model
Q 16: What is the primary advantage of using generative AI in content creation?
- A.) Reduced need for human creativity
- B.) Increased productivity and efficiency
- C.) Limited scope for human intervention
- D.) Elimination of errors in content production
Q 17: Which of the following are Gen AI text to text tools?
- A.) ChatGPT
- B.) Google Bard
- C.) Both A and B
- D.) DALL E
Q 18: Who created ChatGPT?
- A.) Amazon
- B.) Google
- C.) Microsoft
- D.) Open AI
Q 19: Can ChatGPT understand multiple languages?
- A.) Yes, it can understand and generate responses in multiple languages
- B.) It cannot understand any languages
- C.) No, it only understands English
- D.) It can understand, but can only generate responses in English
Q 20: What is a Prompt?
- A.) A virtual assistant
- B.) A programming language
- C.) An Input Text string
- D.) An Output text
Q 21: Who created the Midjouney?
- A.) Amazon
- B.) Google
- C.) Midjourney. Inc
- D.) Open AI
Q 22: Which of the following is an example of generative AI in robotics?
- A.) Automating repetitive tasks in manufacturing
- B.) Programming robots to follow pre-defined instructions
- C.) Teaching robots to navigate in unknown environments
- D.) Developing human-like facial expressions in robots
Q 23:Which aspect of generative AI focuses on generating human-like conversations?
- A.) Reinforcement Learning (RL)
- B.) Computer Vision
- C.) Natural Language Processing (NLP)
- D.) Genetic Algorithms
Q 24: Which of these statements is correct?
- A.) ChatGPT is a natural language processing tool driven by AI technology
- B.) All are correct
- C.) ChatGPT is not a natural language processing tool driven by AI technology
- D.) ChatGPT is not an AI model. It just answers pre-configured questions.
Q 25: What is use of Generative AI in telecom domain?
- A.) All are correct
- B.) Improving Network security
- C.) Network performance improvement
- D.) Improving Customer service
Q 26: How can generative AI models contribute to misinformation and fake content?
- A.) By promoting transparency and accuracy in content creation
- B.) By generating realistic but false information
- C.) By limiting the access to generative AI technologies
- D.) By only generating content from verified sources
Q 27: What steps can be taken to mitigate ethical issues in Generative AI?
- A.) Conducting thorough testing and validation of the generated outputs
- B.) Regularly updating generative AI models without considering biases
- C.) Limiting the availability of generative AI technologies to specific industries
- D.) Providing generative AI access to unverified and unreliable data sources
Q 28: Midjourney is an excellent example of generative AI that creates images based
- A.) image prompts
- B.) Videos inputs
- C.) Sound prompts
- D.) Text Prompts
Q 29: What is Generative AI?
- A.) An AI technique that predicts future outcomes
- B.) An AI technique that creates random outputs
- C.) An AI technique that generates new data based on existing data
- D.) An AI technique that analyzes patterns in data
Correct Answer: C) An AI technique that generates new data based on existing data
Q 30: What is the purpose of Prompt engineering in Gen AI systems?
Q 30: What is the purpose of Prompt engineering in Gen AI systems?
- A.) To increase the computational complexity of AI systems
- B.) To improve the overall performance and output quality of AI models
- C.) To ensure fair and unbiased decision-making by AI models
- D.) To enhance the interpretability of AI model outputs
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