com.box.sdkgen.schemas.aillmendpointparamsibm

Class AiLlmEndpointParamsIbm

Object

NullableFieldTracker

SerializableObject

AiLlmEndpointParamsIbm

All Implemented Interfaces:

Serializable

public class AiLlmEndpointParamsIbm
extends SerializableObject

AI LLM endpoint params IBM object.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AiLlmEndpointParamsIbm.Builder

Field Summary

Fields

Modifier and Type	Field and Description
protected Double	temperature What sampling temperature to use, between 0 and 1.
protected Double	topK `Top-K` changes how the model selects tokens for output.
protected Double	topP An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with `top_p` probability mass.
protected EnumWrapper<AiLlmEndpointParamsIbmTypeField>	type The type of the AI LLM endpoint params object for IBM.

Fields inherited from class NullableFieldTracker

explicitlySetNullableFields

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object o)
Double	getTemperature()
Double	getTopK()
Double	getTopP()
EnumWrapper<AiLlmEndpointParamsIbmTypeField>	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<AiLlmEndpointParamsIbmTypeField> type

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

temperature

protected Double temperature

What sampling temperature to use, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.

topP

protected Double topP

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with `top_p` probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.

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

AiLlmEndpointParamsIbm

public AiLlmEndpointParamsIbm()

AiLlmEndpointParamsIbm

protected AiLlmEndpointParamsIbm(AiLlmEndpointParamsIbm.Builder builder)

Method Detail

getType

public EnumWrapper<AiLlmEndpointParamsIbmTypeField> 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