com.box.sdkgen.schemas.aillmendpointparamsgoogle

Class AiLlmEndpointParamsGoogle

Object

NullableFieldTracker

SerializableObject

AiLlmEndpointParamsGoogle

All Implemented Interfaces:

Serializable

public class AiLlmEndpointParamsGoogle
extends SerializableObject

AI LLM endpoint params Google object.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AiLlmEndpointParamsGoogle.Builder

Field Summary

Fields

Modifier and Type	Field and Description
protected Double	temperature The temperature is used for sampling during response generation, which occurs when `top-P` and `top-K` are applied.
protected Double	topK `Top-K` changes how the model selects tokens for output.
protected Double	topP `Top-P` changes how the model selects tokens for output.
protected EnumWrapper<AiLlmEndpointParamsGoogleTypeField>	type The type of the AI LLM endpoint params object for Google.

Fields inherited from class NullableFieldTracker

explicitlySetNullableFields

Constructor Summary

Constructors

Modifier	Constructor and Description
	AiLlmEndpointParamsGoogle()
protected	AiLlmEndpointParamsGoogle(AiLlmEndpointParamsGoogle.Builder builder)

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object o)
Double	getTemperature()
Double	getTopK()
Double	getTopP()
EnumWrapper<AiLlmEndpointParamsGoogleTypeField>	getType()
int	hashCode()
String	toString()

Methods inherited from class SerializableObject

getRawData, setRawData

Methods inherited from class NullableFieldTracker

getExplicitlySetNullableFields, isFieldExplicitlySet, markNullableFieldAsSet, markNullableFieldsAsSet

Methods inherited from class Object

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

Field Detail

type

protected EnumWrapper<AiLlmEndpointParamsGoogleTypeField> type

The type of the AI LLM endpoint params object for Google. This parameter is **required**.

temperature

protected Double temperature

The temperature is used for sampling during response generation, which occurs when `top-P` and `top-K` are applied. Temperature controls the degree of randomness in the token selection.

topP

protected Double topP

`Top-P` changes how the model selects tokens for output. Tokens are selected from the most (see `top-K`) to least probable until the sum of their probabilities equals the `top-P` value.

topK

protected Double topK

`Top-K` changes how the model selects tokens for output. A low `top-K` means the next selected token is the most probable among all tokens in the model's vocabulary (also called greedy decoding), while a high `top-K` means that the next token is selected from among the three most probable tokens by using temperature.

Constructor Detail

AiLlmEndpointParamsGoogle

public AiLlmEndpointParamsGoogle()

AiLlmEndpointParamsGoogle

protected AiLlmEndpointParamsGoogle(AiLlmEndpointParamsGoogle.Builder builder)

Method Detail

getType

public EnumWrapper<AiLlmEndpointParamsGoogleTypeField> getType()

getTemperature

public Double getTemperature()

getTopP

public Double getTopP()

getTopK

public Double getTopK()

equals

public boolean equals(Object o)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

toString

public String toString()

Overrides:

toString in class Object