Dialogflow v3 API - Class Generator.Types.ModelParameter (2.24.0)

public sealed class Generator.Types.ModelParameter : IMessage<Generator.Types.ModelParameter>, IEquatable<Generator.Types.ModelParameter>, IDeepCloneable<Generator.Types.ModelParameter>, IBufferMessage, IMessage

Reference documentation and code samples for the Dialogflow v3 API class Generator.Types.ModelParameter.

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

Inheritance

object > Generator.Types.ModelParameter

Implements

IMessage Generator Types ModelParameter, IEquatable Generator Types ModelParameter, IDeepCloneable Generator Types ModelParameter, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.Dialogflow.Cx.V3

Assembly

Google.Cloud.Dialogflow.Cx.V3.dll

Constructors

ModelParameter()

public ModelParameter()

ModelParameter(ModelParameter)

public ModelParameter(Generator.Types.ModelParameter other)

Parameter
Name	Description
`other`	`GeneratorTypesModelParameter`

Properties

HasMaxDecodeSteps

public bool HasMaxDecodeSteps { get; }

Gets whether the "max_decode_steps" field is set

Property Value
Type	Description
`bool`

HasTemperature

public bool HasTemperature { get; }

Gets whether the "temperature" field is set

Property Value
Type	Description
`bool`

HasTopK

public bool HasTopK { get; }

Gets whether the "top_k" field is set

Property Value
Type	Description
`bool`

HasTopP

public bool HasTopP { get; }

Gets whether the "top_p" field is set

Property Value
Type	Description
`bool`

MaxDecodeSteps

public int MaxDecodeSteps { get; set; }

The maximum number of tokens to generate.

Property Value
Type	Description
`int`

Temperature

public float Temperature { get; set; }

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.

Property Value
Type	Description
`float`

TopK

public int TopK { get; set; }

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.

Property Value
Type	Description
`int`

TopP

public float TopP { get; set; }

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.

Property Value
Type	Description
`float`

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