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AI and RAG

Authored by Tan WM

Information Technology (IT)

Professional Development

Used 2+ times

AI and RAG
AI

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8 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

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

True

False

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

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

True

False

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

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

True

False

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

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

True

False

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

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

True

False

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

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

True

False

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

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

True

False

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