TextInferenceConfig¶
Structure Class¶
dataclass
¶
The configuration details for text generation using a language model via
the RetrieveAndGenerate function.
Attributes¶
class-attribute
instance-attribute
¶
max_tokens: int | None = None
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 arbitrary values, for actual values consult the limits defined by your specific model.
class-attribute
instance-attribute
¶
stop_sequences: list[str] | None = None
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 arbitrary values, for actual values consult the limits defined by your specific model.
class-attribute
instance-attribute
¶
temperature: float | None = None
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.
class-attribute
instance-attribute
¶
top_p: float | None = None
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.