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AI and RAG

Total questions: 8

Worksheet time: 3mins

Name
Class
Date
1.

Deep Learning and Gen AI achieve higher accuracy than Machine Learning, due to it auto feature extraction and self training.

a)

True

b)

False

2.

GenAI and LLM are highly interpretable and explainable, as the output is human like.

a)

True

b)

False

3.

Vector Database could help to enrich the LLM knowledge for specific and target use case (e.g healthcare, law firm data)

a)

True

b)

False

4.

AI solution help to improve productivity and streamline workflow in customer service.

a)

True

b)

False

5.

Retaining and fine tune model (GPT-4) improve the accuracy and quality of LLM (GPT-5)

a)

True

b)

False

6.

a well trained LLM model (higher accuracy), is slow in inference time performance, this is due to overfit.

a)

True

b)

False

7.

In the process of conceptualization, design, testing, launch a new medicine (product), AI can ONLY be used in the testing phase.

a)

True

b)

False

8.

Since LLM/AI model is low interpretability and hard to evaluation, KPI, cost-benefit, workflow efficiency analysis are the indirect metrics for the model evaluation/monitoring.

a)

True

b)

False