object CreateClassificationRequest extends Serializable
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- final case class ExpandItem(values: Map[String, Json]) extends DynamicObject[ExpandItem] with Product with Serializable
expand_item model
expand_item model
- values
The dynamic list of key-value pairs of the object
- final case class LogitBias(values: Map[String, Json]) extends DynamicObject[LogitBias] with Product with Serializable
logit_bias model
logit_bias model
Modify the likelihood of specified tokens appearing in the completion.
Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
As an example, you can pass
{"50256": -100}to prevent the <|endoftext|> token from being generated.- values
The dynamic list of key-value pairs of the object
- type Query = CreateClassificationRequest.Query.Type
query model
query model
Query to be classified.
- type Temperature = CreateClassificationRequest.Temperature.Type
temperature model
temperature model
What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
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- implicit val schema: Schema[CreateClassificationRequest]
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- object ExpandItem extends Serializable
- object LogitBias extends Serializable
- object Query extends Subtype[String]
- object Temperature extends Subtype[Double]