Package software.amazon.awscdk.services.bedrock.alpha

Class InferenceConfiguration.Jsii$Proxy

java.lang.Object
software.amazon.jsii.JsiiObject
software.amazon.awscdk.services.bedrock.alpha.InferenceConfiguration.Jsii$Proxy
All Implemented Interfaces:
InferenceConfiguration, software.amazon.jsii.JsiiSerializable
Enclosing interface:
InferenceConfiguration
@Stability(Experimental) @Internal public static final class InferenceConfiguration.Jsii$Proxy extends software.amazon.jsii.JsiiObject implements InferenceConfiguration
An implementation for InferenceConfiguration

  • Nested Class Summary

    Nested classes/interfaces inherited from class software.amazon.jsii.JsiiObject

    software.amazon.jsii.JsiiObject.InitializationMode

    Nested classes/interfaces inherited from interface software.amazon.awscdk.services.bedrock.alpha.InferenceConfiguration

    InferenceConfiguration.Builder, InferenceConfiguration.Jsii$Proxy

  • Constructor Summary

    Constructors
    Modifier
    Constructor
    Description
    protected
    Jsii$Proxy(InferenceConfiguration.Builder builder)
    Constructor that initializes the object based on literal property values passed by the InferenceConfiguration.Builder.
    protected
    Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)
    Constructor that initializes the object based on values retrieved from the JsiiObject.

  • Method Summary

    Modifier and Type
    Method
    Description
    com.fasterxml.jackson.databind.JsonNode
    $jsii$toJson()
     
    final boolean
    equals(Object o)
     
    final Number
    getMaximumLength()
    (experimental) The maximum number of tokens to generate in the response.
    final List<String>
    getStopSequences()
    (experimental) A list of stop sequences.
    final Number
    getTemperature()
    (experimental) The likelihood of the model selecting higher-probability options while generating a response.
    final Number
    getTopK()
    (experimental) While generating a response, the model determines the probability of the following token at each point of generation.
    final Number
    getTopP()
    (experimental) While generating a response, the model determines the probability of the following token at each point of generation.
    final int
    hashCode()
     

    Methods inherited from class software.amazon.jsii.JsiiObject

    jsiiAsyncCall, jsiiAsyncCall, jsiiCall, jsiiCall, jsiiGet, jsiiGet, jsiiSet, jsiiStaticCall, jsiiStaticCall, jsiiStaticGet, jsiiStaticGet, jsiiStaticSet, jsiiStaticSet

    Methods inherited from class java.lang.Object

    clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • Jsii$Proxy

      protected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)
      Constructor that initializes the object based on values retrieved from the JsiiObject.
      Parameters:
      objRef - Reference to the JSII managed object.

    • Jsii$Proxy

      protected Jsii$Proxy(InferenceConfiguration.Builder builder)
      Constructor that initializes the object based on literal property values passed by the InferenceConfiguration.Builder.

  • Method Details

    • getMaximumLength

      public final Number getMaximumLength()
      Description copied from interface: InferenceConfiguration
      (experimental) The maximum number of tokens to generate in the response.

      Integer

      min 0 max 4096

      Specified by:
      getMaximumLength in interface InferenceConfiguration

    • getStopSequences

      public final List<String> getStopSequences()
      Description copied from interface: InferenceConfiguration
      (experimental) A list of stop sequences.

      A stop sequence is a sequence of characters that causes the model to stop generating the response.

      length 0-4

      Specified by:
      getStopSequences in interface InferenceConfiguration

    • getTemperature

      public final Number getTemperature()
      Description copied from interface: InferenceConfiguration
      (experimental) The likelihood of the model selecting higher-probability options while generating a response.

      A lower value makes the model more likely to choose higher-probability options, while a higher value makes the model more likely to choose lower-probability options.

      Floating point

      min 0 max 1

      Specified by:
      getTemperature in interface InferenceConfiguration

    • getTopK

      public final Number getTopK()
      Description copied from interface: InferenceConfiguration
      (experimental) While generating a response, the model determines the probability of the following token at each point of generation.

      The value that you set for topK is the number of most-likely candidates from which the model chooses the next token in the sequence. For example, if you set topK to 50, the model selects the next token from among the top 50 most likely choices.

      Integer

      min 0 max 500

      Specified by:
      getTopK in interface InferenceConfiguration

    • getTopP

      public final Number getTopP()
      Description copied from interface: InferenceConfiguration
      (experimental) While generating a response, the model determines the probability of the following token at each point of generation.

      The value that you set for Top P determines the number of most-likely candidates from which the model chooses the next token in the sequence. For example, if you set topP to 80, the model only selects the next token from the top 80% of the probability distribution of next tokens.

      Floating point

      min 0 max 1

      Specified by:
      getTopP in interface InferenceConfiguration

    • $jsii$toJson

      @Internal public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()
      Specified by:
      $jsii$toJson in interface software.amazon.jsii.JsiiSerializable

    • equals

      public final boolean equals(Object o)
      Overrides:
      equals in class Object

    • hashCode

      public final int hashCode()
      Overrides:
      hashCode in class Object