Summer Sale Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: ecus65

EMC D-GAI-F-01 - Dell GenAI Foundations Achievement

Page: 1 / 2
Total 58 questions

What is the purpose of adversarial training in the lifecycle of a Large Language Model (LLM)?

A.

To make the model more resistant to attacks like prompt injections when it is deployed in production

B.

To feed the model a large volume of data from a wide variety of subjects

C.

To customize the model for a specific task by feeding it task-specific content

D.

To randomize all the statistical weights of the neural network

A company is considering using deep neural networks in its LLMs.

What is one of the key benefits of doing so?

A.

They can handle more complicated problems

B.

They require less data

C.

They are cheaper to run

D.

They are easier to understand

A company is considering using Generative Al in its operations.

Which of the following is a benefit of using Generative Al?

A.

Decreased innovation

B.

Higher operational costs

C.

Enhanced customer experience

D.

Increased manual labor

What is the significance of parameters in Large Language Models (LLMs)?

A.

Parameters are used to parse image, audio, and video data in LLMs.

B.

Parameters are used to decrease the size of the LLMs.

C.

Parameters are used to increase the size of the LLMs.

D.

Parameters are statistical weights inside of the neural network of LLMs.

What is the role of a decoder in a GPT model?

A.

It is used to fine-tune the model.

B.

It takes the output and determines the input.

C.

It takes the input and determines the appropriate output.

D.

It is used to deploy the model in a production or test environment.

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

A.

To put text into a prompt to interact with the cloud-based Al system

B.

To randomize all the statistical weights of the neural network

C.

To customize the model for a specific task by feeding it task-specific content

D.

To feed the model a large volume of data from a wide variety of subjects

A company wants to use Al to improve its customer service by generating personalized responses to customer inquiries.

Which of the following is a way Generative Al can be used to improve customer experience?

A.

By generating new product designs

B.

By automating repetitive tasks

C.

By providing personalized and timely responses through chatbots

D.

By reducing operational costs

A team is working on mitigating biases in Generative Al.

What is a recommended approach to do this?

A.

Regular audits and diverse perspectives

B.

Focus on one language for training data

C.

Ignore systemic biases

D.

Use a single perspective during model development

What is feature-based transfer learning?

A.

Transferring the learning process to a new model

B.

Training a model on entirely new features

C.

Enhancing the model's features with real-time data

D.

Selecting specific features of a model to keep while removing others

A tech startup is developing a chatbot that can generate human-like text to interact with its users.

What is the primary function of the Large Language Models (LLMs) they might use?

A.

To store data

B.

To encrypt information

C.

To generate human-like text

D.

To manage databases