What is the definition of generative AI?

• A type of artificial intelligence that creates new content based on existing data

• A type of artificial intelligence that focuses on supervised learning

• A type of artificial intelligence that only works with labeled data

• A type of artificial intelligence that cannot generate new content

What is the difference between generative AI and discriminative models?

• Generative AI cannot process text or images, while discriminative models can

• Generative AI generates new data instances, while discriminative models classify or predict labels for data points

• Generative AI and discriminative models are the same

• Generative AI only works with labeled data, while discriminative models work with unlabeled data

What is the purpose of a foundation model in generative AI?

• To perform a single specific task

• To be adapted or fine-tuned to a wide range of downstream tasks

• To generate random data without any specific purpose

• To only work with labeled data

What is the role of transformers in generative AI?

• Transformers revolutionized natural language processing in generative AI

• Transformers are only used for image generation in generative AI

• Transformers are used to create hallucinations in generative AI

• Transformers are not used in generative AI

What is the purpose of a prompt in generative AI?

• To provide additional training data to the model

• To confuse the model and generate incorrect information

• To limit the capabilities of the model

• To control the output of the model

What are the different types of generative AI models based on input and output?

• Text-to-text, text-to-image, text-to-video, text-to-3D, text-to-task

• Image-to-text, audio-to-video, video-to-text, task-to-text

• Text-to-number, image-to-audio, video-to-task, task-to-image

• Text-to-speech, image-to-video, audio-to-text, task-to-number

What is the main purpose of generative AI models?

• To predict future values based on past examples

• To create new content based on existing data

• To only work with labeled data

• To classify or predict labels for data points

What is the potential impact of foundation models in various industries?

• Cause confusion and misinformation in industries

• Only be used for academic research

• Have no impact on any industry

• Revolutionize industries such as healthcare, finance, and customer service

What is the role of large language models in generative AI?

• To predict future values based on past examples

• To classify images based on text descriptions

• To only work with labeled data

• To generate novel combinations of text in the form of natural sounding language

What is the potential problem of hallucinations in generative AI?

• They improve the model's accuracy

• They have no impact on the model's output

• They are necessary for the model to function properly

• They can make the output text difficult to understand and generate incorrect information