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.
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ComputeTokensResponse
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Response message for ComputeTokens RPC call.
Fields
Lists of tokens info from the input. A ComputeTokensRequest could have multiple instances with a prompt in each instance. We also need to return lists of tokens info for the request with multiple instances.
JSON representation
{
"tokensInfo" : [
{
object (TokensInfo
)
}
]
}
TokensInfo
Tokens info with a list of tokens and the corresponding list of token ids.
Fields
tokens[]
string (bytes format)
A list of tokens from the input.
A base64-encoded string.
tokenIds[]
string (int64 format)
A list of token ids from the input.
role
string
Optional. Optional fields for the role from the corresponding Content.
JSON representation
{
"tokens" : [
string
] ,
"tokenIds" : [
string
] ,
"role" : string
}
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Last updated 2024-08-06 UTC.
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"id": "hardToUnderstand",
"label":"Hard to understand"
},{
"type": "thumb-down",
"id": "incorrectInformationOrSampleCode",
"label":"Incorrect information or sample code"
},{
"type": "thumb-down",
"id": "missingTheInformationSamplesINeed",
"label":"Missing the information/samples I need"
},{
"type": "thumb-down",
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}]
[{
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},{
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"id": "solvedMyProblem",
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},{
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}]
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{
"last_modified": "Last updated 2024-08-06 UTC.",
"state": ""
}