D-GAI-F-01 無料問題集「EMC Dell GenAI Foundations Achievement」

（A）Adversarial Training

（B）Reinforcement Learning through Human Feedback (RLHF)

（C）Transfer Learning

（D）Self-supervised Learning

（A）Product design

（B）Data management

（C）Marketing

（D）Customer service

（A）Supervised learning is common for base model training, while unsupervised learning is common for fine tuning and customization.

（B）Supervised learning feeds a large corpus of raw data into the Al system, while unsupervised learning uses labeled data to teach the Al system what output is expected.

（C）Supervised learning is common for fine tuning and customization, while unsupervised learning is common for base model training.

（D）Supervised learning uses labeled data to teach the Al system what output is expected, while unsupervised learning feeds a large corpus of raw data into the Al system, which determines the appropriate weights in its neural network.

（A）To manage databases

（B）To encrypt information

（C）To generate human-like text

（D）To store data

（A）Investing in talent

（B）Identifying opportunities

（C）Risk management

（D）Data management

（A）The study of computer science

（B）The study of human brain functions

（C）The study of data analysis

（D）The study and design of intelligent agents