Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window.

Tech specs

Generate technical specifications in JSON format.

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.
To view this sample in the Cloud console: Go to Google Cloud console

Context

Extract the technical specifications from the text below in a JSON format.

Examples Structured

Text:	JSON
Google Nest Wifi, network speed up to 1200Mpbs, 2.4GHz and 5GHz frequencies, WP3 protocol	{ "product":"Google Nest Wifi", "speed":"1200Mpbs", "frequencies": ["2.4GHz", "5GHz"], "protocol":"WP3" }

Test

Text:	JSON
Google Pixel 7, 5G network, 8GB RAM, Tensor G2 processor, 128GB of storage, Lemongrass	`json { "product":"Google Pixel 7", "network": "5G", "RAM": "8GB", "processor": "Tensor G2", "storage": "128GB", "color": "Lemongrass" }`

Model:	gemini-1.5-pro-preview-0409
Temperature:	1
Max output tokens:	1024
TopK:	40
TopP:	0.95