Question 1

What is a key concept behind developing a Generative AI (GenAI) Language Model (LLM)?

AOperating only in supervised environments

BHuman intervention for every decision

CData-driven learning with large-scale datasets

DRule-based programming

Answer : C

Question 2

How do ISO 42001 and ISO 27563 integrate for comprehensive AI governance?

ABy combining AI management with privacy standards to address both operational and data protection needs.

BBy replacing each other in different organizational contexts.

CBy focusing ISO 42001 on privacy and ISO 27563 on management.

DBy applying only to public sector AI systems.

Answer : A

Question 3

How does the multi-head self-attention mechanism improve the model's ability to learn complex relationships in data?

ABy forcing the model to focus on a single aspect of the input at a time.

BBy ensuring that the attention mechanism looks only at local context within the input

CBy simplifying the network by removing redundancy in attention layers.

DBy allowing the model to focus on different parts of the input through multiple attention heads

Answer : D

Question 4

What is a potential risk associated with hallucinations in LLMs, and how should it be addressed to ensure Responsible AI?

AHallucinations can lead to creative outputs, which are beneficial for all applications; hence, no measures are necessary.

BHallucinations cause models to slow down; optimizing hardware performance is necessary to mitigate this issue.

CHallucinations can produce inaccurate or misleading information; it should be addressed by incorporating external knowledge bases and retrieval systems.

DHallucinations are primarily due to overfitting; regularization techniques should be applied during training.

Answer : C

Question 5

In a Retrieval-Augmented Generation (RAG) system, which key step is crucial for ensuring that the generated response is contextually accurate and relevant to the user's question?

ALeveraging a diverse set of data sources to enrich the response with varied perspectives

BIntegrating advanced search algorithms to ensure the retrieval of highly relevant documents for context.

CUtilizing feedback mechanisms to continuously improve the relevance of responses based on user interactions.

DRetrieving relevant information from the vector database before generating a response