Generative AI Quiz

What is Scanflow primarily used for?

• Predictive analytics for financial markets

• Smart data capture and workflow automation using AI

• Developing AI chatbots for customer service

• Managing cloud storage and data encryption

What is the main technology behind Generative AI?

• Decision Trees

• Convolutional Neural Networks

• Transformer Models

• Relational Databases

Which of the following is NOT a use case of Generative AI?

• Creating text-based content

• Image generation

• Real-time stock trading execution

• Code generation

Which of the following Generative AI models is designed for image generation?

• GPT-4

• DALL·E

• BERT

• YOLO

What is 'fine-tuning' in Generative AI?

• Adjusting the volume of AI-generated speech

• Training a pre-trained model on a smaller, specific dataset

• Increasing the model's size for better performance

• Running AI models at a lower computational cost

Which of these is a text-to-image AI model?

• BERT

• Stable Diffusion

• GPT-4

• ResNet

What is the primary difference between GPT-4 and Codex?

• GPT-4 is focused on general text generation, while Codex is fine-tuned for code generation

• Codex can only generate Python code

• GPT-4 is a smaller model compared to Codex

• Codex is not based on Transformer architecture

What is the purpose of a diffusion model in Generative AI?

• To remove noise from images

• To classify data into categories

• To generate high-quality synthetic images

• To predict time-series data

What is the primary function of a Large Language Model (LLM) like GPT?

• Storing large amounts of data

• Translating languages

• Generating human-like text based on input

• Analyzing numerical trends

What is a common limitation of LLMs?

• They cannot generate text

• They always provide factually accurate information

• They require large amounts of computational power and data

• They can only process numbers