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GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata

import type { GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";

The metadata of Datasets that contain Text Prompt data.

interface GoogleCloudAiplatformV1SchemaTextPromptDatasetMetadata {
candidateCount?: bigint;
gcsUri?: string;
hasPromptVariable?: boolean;
logprobs?: boolean;
maxOutputTokens?: bigint;
note?: string;
promptType?: string;
seedEnabled?: boolean;
seedValue?: bigint;
stopSequences?: string[];
systemInstruction?: string;
systemInstructionGcsUri?: string;
temperature?: number;
text?: string;
topK?: bigint;
topP?: number;
}

§Properties

§
candidateCount?: bigint
[src]

Number of candidates.

§
gcsUri?: string
[src]

The Google Cloud Storage URI that stores the prompt data.

§

Grounding checking configuration.

§
hasPromptVariable?: boolean
[src]

Whether the prompt dataset has prompt variable.

§
logprobs?: boolean
[src]

Whether or not the user has enabled logit probabilities in the model parameters.

§
maxOutputTokens?: bigint
[src]

Value of the maximum number of tokens generated set when the dataset was saved.

§
note?: string
[src]

User-created prompt note. Note size limit is 2KB.

§

The API schema of the prompt to support both UI and SDK usages.

§
promptType?: string
[src]

Type of the prompt dataset.

§
seedEnabled?: boolean
[src]

Seeding enables model to return a deterministic response on a best effort basis. Determinism isn't guaranteed. This field determines whether or not seeding is enabled.

§
seedValue?: bigint
[src]

The actual value of the seed.

§
stopSequences?: string[]
[src]

Customized stop sequences.

§
systemInstruction?: string
[src]

The content of the prompt dataset system instruction.

§
systemInstructionGcsUri?: string
[src]

The Google Cloud Storage URI that stores the system instruction, starting with gs://.

§
temperature?: number
[src]

Temperature value used for sampling set when the dataset was saved. This value is used to tune the degree of randomness.

§
text?: string
[src]

The content of the prompt dataset.

§
topK?: bigint
[src]

Top K value set when the dataset was saved. This value determines how many candidates with highest probability from the vocab would be selected for each decoding step.

§
topP?: number
[src]

Top P value set when the dataset was saved. Given topK tokens for decoding, top candidates will be selected until the sum of their probabilities is topP.