GRIET

Which of the following is a major advancement in Natural Language Processing(NLP) that has significantly improved language understanding and generation in AI systems? 

• Symbolic AI 

• Convolutional Neural Networks(CNNs) 

• Transformer Models 

• Genetic Algorithms 

What is Generative AI? 

• An AI technique that generates new data 

• An AI technique that analyzes existing data 

• An AI technique that classifies data

• An AI technique that optimizes data

How does Generative AI work? 

• By mimicking human behavior 

• By learning patterns from existing data and generating new data  

• By analyzing large datasets and making predictions  

• By optimizing algorithms for specific task

What distinguishes GPTs (Generative Pre-trained Transformers) from search engines? 

• GPTs can generate new content, while search engines retrieve existing content 

• Search engines are trained on labeled data, while GPTs are not 

• GPTs use supervised learning, while search engines use unsupervised learning 

• There is no difference between GPTs and search engines

What is the main advantage of using Generative AI in natural language processing tasks?

• Improved accuracy in text classification  

• Faster processing speed compared to traditional methods  

• Ability to generate human-like text 

• Reduced need for labeled training data  

What is the primary focus of Prompt Engineering in the context of Generative AI?

• Optimizing model architecture  

• Fine-tuning pre-existing prompts 

• Designing new algorithms for training 

• Enhancing data preprocessing techniques

In the context of Large Language Models, what is a prompt? 

• A command given to the model for execution  

• An input provided to the model to generate desired output 

• A feedback mechanism for model evaluation 

• A measure of model performance 

How is Generative AI utilized in software applications? 

• To automate repetitive tasks 

• To generate realistic images and text 

• To improve user experience through personalized content 

• All of these

What is the primary goal of the prompt tuning process

• To fine-tune model parameters for better performance

• To adjust prompts to achieve specific output characteristics 

• To evaluate the cognitive patterns employed by the model

• To validate the accuracy of generated responses

In an Azure cloud project which of the following is a container that holds related resources for an Azure solution.

• Virtual Machine
• Storage Account
• Azure Function
• Resource Group