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Responder preguntas exhaustivas de conocimiento sobre una imagen
Puedes consultar un modelo directamente y probar los resultados que se muestran cuando usas valores de parámetros diferentes con la consola de Cloud o con una llamada directa a la API de Vertex AI.
[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-09-04 (UTC)"],[],[],null,["Answer knowledge-extensive questions about an image\n\n|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| You can query a model directly and test the results returned when using different parameter values with the Cloud console, or by calling the Vertex AI API directly. - For an example of using the Vertex AI API, see [Quickstart using the Vertex AI API](/vertex-ai/generative-ai/docs/start/quickstarts/api-quickstart). - To view this sample in the Cloud console: [Go to Google Cloud console](https://console.cloud.google.com/vertex-ai/generative/language/prompt-examples/Question%20answering%20about%20an%20image) \u003cbr /\u003e ||\n| Prompt Freeform You are an expert on answering questions briefly and accurately about the world. Where is this mountain located? Response That's Mount Fuji, located in Honshu, Japan. | |------------------------|----------------------| | **Model:** | gemini-1.5-flash-002 | | **Temperature:** | 0.2 | | **Max output tokens:** | 8192 | | **TopK:** | 40.0 | | **TopP:** | 0.95 | |"]]