Values.InferenceConfigurationSourceBase inference parameters to pass to a model in a call to Converse or ConverseStream. For more information, see Inference parameters for foundation models. If you need to pass additional parameters that the model supports, use the additionalModelRequestFields request field in the call to Converse or ConverseStream. For more information, see Model parameters.
type nonrec t = {maxTokens : InferenceConfigurationMaxTokensInteger.t option;The maximum number of tokens to allow in the generated response. The default value is the maximum allowed value for the model that you are using. For more information, see Inference parameters for foundation models.
*)temperature : InferenceConfigurationTemperatureFloat.t option;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. The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.
*)topP : InferenceConfigurationTopPFloat.t option;The percentage of most-likely candidates that the model considers for the next token. For example, if you choose a value of 0.8 for topP, the model selects from the top 80% of the probability distribution of tokens that could be next in the sequence. The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.
*)stopSequences : InferenceConfigurationStopSequencesList.t option;A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.
*)}val to_value :
t ->
[> `Structure of
(string
* [> `Float of InferenceConfigurationTemperatureFloat.t
| `Integer of InferenceConfigurationMaxTokensInteger.t
| `List of [> `String of NonEmptyString.t ] list ])
list ]