Gen AI Session 2

Which of the following is NOT a model available through the Vertex AI Gemini API?

• Gemini Pro Vision (gemini-pro-vision)

• LaMDA

• Gemini Pro (gemini-pro)

• Both a and b

What method is NOT covered in this lab for interacting with the Vertex AI Gemini API?

• Vertex AI Studio

• Python SDK

• REST API

• cURL commands

Which model is designed specifically for handling natural language tasks?

• LaMDA

• Gemini Pro Vision (gemini-pro-vision)

• Gemini Pro (gemini-pro)

• Both a and b

What is the purpose of the Vertex AI Workbench in this lab?

• To deploy the Vertex AI Gemini API models

• To run the JupyterLab notebook environment

• To manage Vertex AI projects

• To train custom machine learning models

What type of prompt does NOT work with the Gemini Pro Vision model?

• Text-only prompt

• Text prompt with an image

• Text prompt with a video

• All of the above

Who will win the match today?

• SRH

• LSG

Which cloud storage is used in the lab to store an image for use with the Gemini Pro Vision model?

• Amazon S3

• Google Cloud Storage

• Azure Blob Storage

• Local storage

What is the main focus of the Generative AI on Vertex AI documentation?

• How to deploy Vertex AI models

• How to use Vertex AI Workbench

• How to interact with generative AI models on Vertex AI

• How to manage Vertex AI projects

Which of the following is NOT mentioned as a next step or resource in the lab?

• Google Cloud Generative AI official repo

• Gemini notebooks

• Google Cloud training on BigQuery

• Google Cloud certifications

What can be inferred about the cost of running this lab?

• Free tier resources are used for the entire lab duration.

• There is no cost associated with running this lab.

• The cost depends on the user's chosen payment method.

• It is impossible to determine the cost of the lab.