Google Cloud Professional Machine Learning Engineer — Question 317

You are developing an AI text generator that will be able to dynamically adapt its generated responses to mirror the writing style of the user and mimic famous authors if their style is detected. You have a large dataset of various authors' works, and you plan to host the model on a custom VM. You want to use the most effective model. What should you do?

Answer options

• A. Deploy Llama 3 from Model Garden, and use prompt engineering techniques.
• B. Fine-tune a BERT-based model from TensorFlow Hub.
• C. Fine-tune Llama 3 from Model Garden on Vertex AI Pipelines.
• D. Use the Gemini 1.5 Flash foundational model to build the text generator.

Correct answer: C

Explanation

The correct answer is C because fine-tuning Llama 3 on Vertex AI Pipelines allows for the most effective adaptation of the model to replicate specific writing styles. Option A lacks the integration with Vertex AI, which is crucial for managing and scaling the model, while option B focuses on BERT, which may not be as suitable for dynamic text generation compared to Llama 3. Option D, while using a foundational model, does not specifically address the fine-tuning needed for style adaptation.