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Google AI提示词库

Google’s generative AI prompt gallery is a collection of examples within the Vertex AI documentation for developers and business practitioners studying prompt structure, comparing task formulations, or starting an application prototype.

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Verified: September 8, 2026

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What is Google AI提示词库?

Google’s generative AI prompt gallery is a collection of examples within the Vertex AI documentation for developers and business practitioners studying prompt structure, comparing task formulations, or starting an application prototype. Each sample pairs a prompt with a response from a Google generative model across question answering, classification, coding, extraction, summarization, transformation, and content generation.

Samples can be browsed in the documentation or opened in the Google Cloud console for testing, parameter changes, and result comparison. Reading an example does not run a model, and console testing requires a Google Cloud account; the page also notes that the Vertex AI documentation is no longer being updated and directs current service information to the Gemini Enterprise Agent Platform documentation.

Key features of Google AI提示词库

  • Browse by task

    Samples are organized by task types including question answering, classification, code, extraction, summarization, transformation, and writing or generation. The catalog spans text, image, audio, video, document, and chart work, although each example represents a particular combination of input and instruction.

  • Prompt and response examples

    Opening a sample shows how a prompt expresses its objective, constraints, and output form alongside an example response from a Google generative model. This illustrates prompt construction, but the displayed result is not a guarantee for different inputs, parameter settings, or model versions.

  • Console testing and comparison

    Prompts can be tested in the Google Cloud console, where model parameter values can be changed to compare results. This interactive route requires a Google Cloud account, and image, video, audio, or document understanding tasks also rely on their respective query guidance.

  • Multimodal and specialist references

    The gallery includes examples for image questions, audio and video summarization, document-entity extraction, code debugging, financial analysis, and marketing writing. These offer observable starting points for multimodal or specialist workflows, but they must be redesigned around real data, domain rules, and review requirements rather than replacing professional judgment.