TextInferenceConfig
Configuration settings for text generation using a language model via the RetrieveAndGenerate operation. Includes parameters like temperature, top-p, maximum token count, and stop sequences.
Note
The valid range of maxTokens depends on the accepted values for your chosen
model's inference parameters. To see the inference parameters for your model, see Inference
parameters for foundation models.
Contents
- maxTokens
-
The maximum number of tokens to generate in the output text. Do not use the minimum of 0 or the maximum of 65536. The limit values described here are arbitary values, for actual values consult the limits defined by your specific model.
Type: Integer
Valid Range: Minimum value of 0. Maximum value of 65536.
Required: No
- stopSequences
-
A list of sequences of characters that, if generated, will cause the model to stop generating further tokens. Do not use a minimum length of 1 or a maximum length of 1000. The limit values described here are arbitary values, for actual values consult the limits defined by your specific model.
Type: Array of strings
Array Members: Minimum number of 0 items. Maximum number of 4 items.
Length Constraints: Minimum length of 1. Maximum length of 1000.
Required: No
- temperature
-
Controls the random-ness of text generated by the language model, influencing how much the model sticks to the most predictable next words versus exploring more surprising options. A lower temperature value (e.g. 0.2 or 0.3) makes model outputs more deterministic or predictable, while a higher temperature (e.g. 0.8 or 0.9) makes the outputs more creative or unpredictable.
Type: Float
Valid Range: Minimum value of 0. Maximum value of 1.
Required: No
- topP
-
A probability distribution threshold which controls what the model considers for the set of possible next tokens. The model will only consider the top p% of the probability distribution when generating the next token.
Type: Float
Valid Range: Minimum value of 0. Maximum value of 1.
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
