Question 1

What is "in-context learning" in the realm of large Language Models (LLMs)?

Options :

A : Teaching a mode! through zero-shot learning

B : Training a model on a diverse range of tasks

C : Modifying the behavior of a pretrained LLM permanently

D : Providing a few examples of a target task via the input prompt

Answer: D

Question 2

Which Deep Learning model is well-suited for processing sequential data, such as sentences?

Options :

A : Generative Adversarial Network (GAN)

B : VariationalAutoencoder(VAE)

C : Recurrent Neural Network (RNN)

D : Convolutional Neural Network (CNN)

Answer: C

Question 3

Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?

Options :

A : Natural Language Processing

B : Speech Processing

C : Anomaly Detection

D : Computer Vision

Answer: A

Question 4

Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications?

Options :

A : Active learning

B : Unsupervised learning

C : Reinforcement learning

D : Supervised learning

Answer: B

Question 5

What role do tokens play in Large Language Models (LLMs)?

Options :

A : They represent the numerical values of model parameters.

B : They are used to define the architecture of the model-s neural network.

C : They are Individual units into which a piece of text is divided during processing by the model.

D : They determine the size of the model-s memory.

Answer: C