Class GoogleCloudAiplatformV1LogprobsResult

The log probabilities of the tokens generated by the model. This is useful for understanding the model's confidence in its predictions and for debugging. For example, you can use log probabilities to identify when the model is making a less confident prediction or to explore alternative responses that the model considered. A low log probability can also indicate that the model is "hallucinating" or generating factually incorrect information.

Inheritance

object

GoogleCloudAiplatformV1LogprobsResult

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Aiplatform.v1.Data

Assembly: Google.Apis.Aiplatform.v1.dll

Syntax

public class GoogleCloudAiplatformV1LogprobsResult : IDirectResponseSchema

Properties

ChosenCandidates

A list of the chosen candidate tokens at each decoding step. The length of this list is equal to the total number of decoding steps. Note that the chosen candidate might not be in top_candidates.

Declaration

[JsonProperty("chosenCandidates")]
public virtual IList<GoogleCloudAiplatformV1LogprobsResultCandidate> ChosenCandidates { get; set; }

Property Value

Type	Description
IList<GoogleCloudAiplatformV1LogprobsResultCandidate>

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

TopCandidates

A list of the top candidate tokens at each decoding step. The length of this list is equal to the total number of decoding steps.

Declaration

[JsonProperty("topCandidates")]
public virtual IList<GoogleCloudAiplatformV1LogprobsResultTopCandidates> TopCandidates { get; set; }

Property Value

Type	Description
IList<GoogleCloudAiplatformV1LogprobsResultTopCandidates>

Implements

IDirectResponseSchema