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Generative AI with Vertex AI: Prompt Design

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Generative AI with Vertex AI: Prompt Design

1 hour 30 minutes 1 Credit

GSP1151

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Overview

The Vertex AI PaLM API 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 PaLM API.

What you will learn:

How to get started with prompt engineering with the PaLM API:

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

How to explore some text generation use cases with the PaLM API:

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

Setup and requirements

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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 how to use the PaLM APIs for idea generation, brainstorming, writing
language/prompts/examples/question_answering.ipynb Notebook on how to use the PaLM APIs for question-answering
language/prompts/examples/text_classification.ipynb Notebook on how to use the PaLM APIs for classifying text
language/prompts/examples/text_extraction.ipynb Notebook on how to use the PaLM APIs for extracting information from text
language/prompts/examples/text_summarization.ipynb Notebook on how to use the PaLM APIs for 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.

Use search to locate Vertex AI workbench
  1. Click Open JupyterLab.
  2. The JupyterLab will run in a new tab.
Open Notebook action

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.
Loading information from the generative-ai folder

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 PaLM API.
  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 PaLM API in Vertex AI.

Next steps

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Manual Last Updated October 31, 2023

Lab Last Tested October 31, 2023

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