Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
Resource name for the location, which may vary between implementations. For example: "projects/example-project/locations/us-east1"
locationId
string
The canonical id for this location. For example: "us-east1".
displayName
string
The friendly name for this location, typically a nearby city name. For example, "Tokyo".
labels
map (key: string, value: string)
Cross-service attributes for the location. For example
{"cloud.googleapis.com/region": "us-east1"}
metadata
object
Service-specific metadata. For example the available capacity at the given location.
An object containing fields of an arbitrary type. An additional field "@type" contains a URI identifying the type. Example: { "id": 1234, "@type": "types.example.com/standard/id" }.