Class GoogleCloudDialogflowCxV3beta1GeneratorModelParameter

Parameters to be passed to the LLM. If not set, default values will be used.

Inheritance

object

GoogleCloudDialogflowCxV3beta1GeneratorModelParameter

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.Dialogflow.v3beta1.Data

Assembly: Google.Apis.Dialogflow.v3beta1.dll

Syntax

public class GoogleCloudDialogflowCxV3beta1GeneratorModelParameter : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

MaxDecodeSteps

The maximum number of tokens to generate.

Declaration

[JsonProperty("maxDecodeSteps")]
public virtual int? MaxDecodeSteps { get; set; }

Property Value

Type	Description
int?

Temperature

The temperature used for sampling. Temperature sampling occurs after both topP and topK have been applied. Valid range: [0.0, 1.0] Low temperature = less random. High temperature = more random.

Declaration

[JsonProperty("temperature")]
public virtual float? Temperature { get; set; }

Property Value

Type	Description
float?

TopK

If set, the sampling process in each step is limited to the top_k tokens with highest probabilities. Valid range: [1, 40] or 1000+. Small topK = less random. Large topK = more random.

Declaration

[JsonProperty("topK")]
public virtual int? TopK { get; set; }

Property Value

Type	Description
int?

TopP

If set, only the tokens comprising the top top_p probability mass are considered. If both top_p and top_k are set, top_p will be used for further refining candidates selected with top_k. Valid range: (0.0, 1.0]. Small topP = less random. Large topP = more random.

Declaration

[JsonProperty("topP")]
public virtual float? TopP { get; set; }

Property Value

Type	Description
float?

Implements

IDirectResponseSchema