AI and RAG

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

• True

• False

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

• True

• False

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

• True

• False

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

• True

• False

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

• True

• False

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

• True

• False

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

• True

• False

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.

• True

• False