Free Dell GenAI Foundations Achievement Exam D-GAI-F-01 Exam Practice Test

What is the difference between supervised and unsupervised learning in the context of training Large Language Models (LLMs)?

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

You are developing a new Al model that involves two neural networks working together in a competitive setting to generate new data.What is this model called?

• Feedforward Neural Networks
• Generative Adversarial Networks (GANs)
• Transformers
• Variational Autoencoders (VAEs)

What is the purpose of fine-tuning in the generative Al lifecycle?

• To put text into a prompt to interact with the cloud-based Al system
• To randomize all the statistical weights of the neural network
• To customize the model for a specific task by feeding it task-specific content
• To feed the model a large volume of data from a wide variety of subjects

You are tasked with creating a model that uses a competitive setting between two neural networks to create new data.Which model would you use?

• Feedforward Neural Networks
• Variational Autoencoders (VAEs)
• Generative Adversarial Networks (GANs)
• Transformers

What are the three broad steps in the lifecycle of Al for Large Language Models?

• Training, Customization, and Inferencing
• Preprocessing, Training, and Postprocessing
• Initialization, Training, and Deployment
• Data Collection, Model Building, and Evaluation

What is the first step an organization must take towards developing an Al-based application?

• Prioritize Al.
• Develop a business strategy.
• Address ethical and legal issues.
• Develop a data strategy.

A company is planning to use Generative Al. What is one of the do's for using Generative Al?Invest in talent and infrastructureSet and forgetIgnore ethical considerationsCreate undue risk

• Invest in talent and infrastructure, as it aligns with the best practices for using Generative AI as per the Official Dell GenAI Foundations Achievement document.

A legal team is assessing the ethical issues related to Generative Al. What is a significant ethical issue they should consider?

• Improved customer service
• Enhanced creativity
• Increased productivity
• Copyright and legal exposure

Why should artificial intelligence developers always take inputs from diverse sources?

• To investigate the model requirements properly
• To perform exploratory data analysis
• To determine where and how the dataset is produced
• To cover all possible cases that the model should handle

What is feature-based transfer learning?

• Transferring the learning process to a new model
• Training a model on entirely new features
• Enhancing the model's features with real-time data
• Selecting specific features of a model to keep while removing others