GSP1151

Overview

The Vertex AI SDK for text enables you to structure prompts however you like. You can add contextual information, instructions, examples, questions, lists, and any other types of text content that you can think of.

In this lab, you will learn about prompt design and various text generation use cases using the Vertex AI SDK.

What you will learn:

How to get started with prompt engineering with the Vertex AI SDK:

• Best practices
• Zero-, one- and few-shot prompting

How to explore some text generation use cases with the Vertex AI SDK:

• Ideation
• Q&A
• Text classification
• Text extraction
• Text summarization

Setup and requirements

Before you click the Start Lab button

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• Access to a standard internet browser (Chrome browser recommended).

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• Time to complete the lab---remember, once you start, you cannot pause a lab.

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How to start your lab and sign in to the Google Cloud console

1. Click the Start Lab button. If you need to pay for the lab, a pop-up opens for you to select your payment method. On the left is the Lab Details panel with the following:

   • The Open Google Cloud console button
   • Time remaining
   • The temporary credentials that you must use for this lab
   • Other information, if needed, to step through this lab

2. Click Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).

   The lab spins up resources, and then opens another tab that shows the Sign in page.

   Tip: Arrange the tabs in separate windows, side-by-side.

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4. Click Next.

5. Copy the Password below and paste it into the Welcome dialog.

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7. Click through the subsequent pages:

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After a few moments, the Google Cloud console opens in this tab.

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Notebook Organization

This lab is organized across various Jupyter notebooks:

Notebook	Description
language/prompts/intro_prompt_design.ipynb	Notebook covering best practices for prompt design
language/prompts/examples/ideation.ipynb	Notebook on idea generation, brainstorming, writing
language/prompts/examples/question_answering.ipynb	Notebook on question-answering
language/prompts/examples/text_classification.ipynb	Notebook on classifying text
language/prompts/examples/text_extraction.ipynb	Notebook on extracting information from text
language/prompts/examples/text_summarization.ipynb	Notebook on summarizing text

Task 1. Vertex AI Workbench

1. In your Google Cloud project, navigate to Vertex AI Workbench. In the top search bar, enter Vertex AI Workbench of the Google Cloud console.

2. Go to User-managed-notebooks.

3. Click Open JupyterLab.
4. The JupyterLab will run in a new tab.

Task 2. Open generative-ai folder

1. Navigate to the generative-ai folder on the left hand side of the notebook.
2. Navigate to the /language/prompts folder.
3. Click on the intro_prompt_design.ipynb file.
4. Follow the steps in the notebook and run each cell one at a time.

Note: Make sure to replace the values of PROJECT_ID and REGION in the notebook with your assigned Project ID and Region of the lab.

Click Check my progress to verify the objectives.

Be Concise Be specific, and well-defined Ask one task at a time Watch out for hallucinations Turn generative tasks into classification tasks to reduce output variability Improve response quality by including examples

Task 3. Explore the notebooks

1. In the file directory on the left-hand side, double click to open the folder language/prompts/examples.
2. Open any of the notebooks in the folder to explore the different use cases where prompt engineering can help generate the results desired from the Vertex AI SDK.
3. After opening a notebook, run each cell one at a time to view the results of the operations in the notebook.

Click Check my progress to verify the objective. Explore the notebooks

Congratulations!

You have now completed the lab! In this lab, you used various notebooks available from the generative-ai GitHub repository to explore the Vertex AI SDK in Vertex AI.

Next steps

• Check out the Generative AI on Vertex AI documentation.
• Learn more about Generative AI on the Google Cloud Tech YouTube channel.

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Manual Last Updated April 04, 2024

Lab Last Tested April 04, 2024

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