CAIC CAIC Natural Language Processing & AI Applications 2

Question 1

Which technique allows an LLM to reference external documents at inference time without retraining?

Accepted Answer

Retrieval-Augmented Generation (RAG)

Answer

RAG combines a retrieval system with a generative model, allowing the LLM to fetch relevant documents and incorporate them into its response without retraining.

Question 2

What is 'hallucination' in the context of large language models?

Accepted Answer

Model generating confident but factually incorrect outputs

Answer

LLM hallucination refers to the model producing plausible-sounding but factually incorrect or fabricated information with apparent confidence.

Question 3

In a named entity recognition (NER) task, which of the following would typically be tagged as an entity?

Accepted Answer

Person names, organizations, and locations

Answer

NER identifies and classifies named entities in text into categories such as person names, organizations, locations, dates, and monetary values.

Question 4

Which approach is used to reduce a pre-trained LLM's size while preserving most of its performance?

Accepted Answer

Model quantization

Answer

Quantization reduces model size by lowering the numerical precision of weights (e.g., from 32-bit to 8-bit), enabling deployment on resource-constrained hardware.

Question 5

What is a vector embedding in NLP applications?

Accepted Answer

A dense numerical representation of text capturing semantic meaning

Answer

Vector embeddings map words, sentences, or documents into high-dimensional numerical vectors where semantically similar content has closer proximity.

(CAIC) Certified AI Consultant Practice Test

(CAIC) Certified AI Consultant Practice Test

CAIC CAIC Natural Language Processing & AI Applications 2