D-GAI-F-01 試験問題を無料オンラインアクセス

What is the primary purpose of fine-tuning in the lifecycle of a Large Language Model (LLM)?

• 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 feed the model a large volume of data from a wide variety of subjects
• D.To customize the model for a specific task by feeding it task-specific content

What is one of the positive stereotypes people have about Al?

• A.Al is suitable only in manufacturing sectors.
• B.Al can help businesses complete tasks around the clock 24/7.
• C.Al can leave humans behind.
• D.Al is unbiased.

You are designing a Generative Al system for a secure environment.
Which of the following would not be a core principle to include in your design?

• A.Creativity Simulation
• B.Generation of New Data
• C.Learning Patterns
• D.Data Encryption

A data scientist is working on a project where she needs to customize a pre-trained language model to perform a specific task.
Which phase in the LLM lifecycle is she currently in?

• A.Data collection
• B.Training
• C.Inferencing
• D.Fine-tuning

What is Transfer Learning in the context of Language Model (LLM) customization?

• A.It is where you can adjust prompts to shape the model's output without modifying its underlying weights.
• B.It is a process where the model is additionally trained on something like human feedback.
• C.It is a type of model training that occurs when you take a base LLM that has been trained and then train it on a different task while using all its existing base weights.
• D.It is where purposefully malicious inputs are provided to the model to make the model more resistant to adversarial attacks.