Newdeck Flashcards
What is Generative AI?
Generative AI refers to algorithms that can create new content, such as images, text, or music, based on training data.
True or False: Generative AI can only produce text.
False
Fill in the blank: Generative Adversarial Networks (GANs) consist of a _____ and a discriminator.
generator
What does the term ‘training data’ refer to in the context of Generative AI?
Training data refers to the dataset used to train the AI model, allowing it to learn patterns and generate new content.
Which of the following is a common application of Generative AI? (a) Image generation (b) Data analysis (c) Web browsing
a) Image generation
What is a Transformer in the context of Generative AI?
A Transformer is a type of neural network architecture that is particularly effective for processing sequential data, commonly used in natural language processing.
True or False: Variational Autoencoders (VAEs) are used for generating new data samples.
True
What is the purpose of the discriminator in a GAN?
The discriminator’s purpose is to differentiate between real data and data generated by the generator.
Fill in the blank: In Generative AI, ‘overfitting’ refers to a model that performs well on _____ but poorly on unseen data.
training data
Which model is primarily used for generating text?
GPT (Generative Pre-trained Transformer)
True or False: Generative AI can create entirely original works without any human input.
False
What is ‘style transfer’ in the context of Generative AI?
Style transfer is a technique that allows the application of the style of one image to the content of another image.
What does the term ‘latent space’ mean in Generative AI?
Latent space is the abstract multi-dimensional space where the model represents the learned features of the training data.
Fill in the blank: The process of generating new data instances from a model is known as _____ generation.
data
Which of the following is a limitation of Generative AI? (a) Requires large datasets (b) Can only generate low-resolution images (c) Cannot learn from data
a) Requires large datasets
What does the term ‘fine-tuning’ refer to in the context of AI models?
Fine-tuning refers to the process of adjusting a pre-trained model on a specific dataset to improve its performance on that particular task.
True or False: Generative AI can be used in drug discovery.
True
What is the role of ‘prompt engineering’ in Generative AI?
Prompt engineering involves crafting effective input prompts to guide the AI in generating desired outputs.
Fill in the blank: The evaluation metric ‘Inception Score’ is used to assess the quality of _____ generated by models.
images
What is a potential ethical concern regarding Generative AI?
The potential for creating misleading or harmful content, such as deepfakes or misinformation.
Which technique allows Generative AI to create variations of existing content?
Data augmentation
True or False: Generative AI can enhance creativity in artistic fields.
True
What does ‘supervised learning’ mean in the context of AI training?
Supervised learning is a type of machine learning where the model is trained on labeled data, learning to map inputs to outputs.
Fill in the blank: In Generative AI, ‘sampling’ refers to the method of selecting data points from the _____ space.
latent
