Class: Aws::BedrockRuntime::Types::InferenceConfiguration
- Inherits:
-
Struct
- Object
- Struct
- Aws::BedrockRuntime::Types::InferenceConfiguration
- Defined in:
- gems/aws-sdk-bedrockruntime/lib/aws-sdk-bedrockruntime/types.rb
Overview
Base 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.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#max_tokens ⇒ Integer
The maximum number of tokens to allow in the generated response.
-
#stop_sequences ⇒ Array<String>
A list of stop sequences.
-
#temperature ⇒ Float
The likelihood of the model selecting higher-probability options while generating a response.
-
#top_p ⇒ Float
The percentage of most-likely candidates that the model considers for the next token.
Instance Attribute Details
#max_tokens ⇒ Integer
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.
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# File 'gems/aws-sdk-bedrockruntime/lib/aws-sdk-bedrockruntime/types.rb', line 1358 class InferenceConfiguration < Struct.new( :max_tokens, :temperature, :top_p, :stop_sequences) SENSITIVE = [] include Aws::Structure end |
#stop_sequences ⇒ Array<String>
A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.
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# File 'gems/aws-sdk-bedrockruntime/lib/aws-sdk-bedrockruntime/types.rb', line 1358 class InferenceConfiguration < Struct.new( :max_tokens, :temperature, :top_p, :stop_sequences) SENSITIVE = [] include Aws::Structure end |
#temperature ⇒ Float
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.
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# File 'gems/aws-sdk-bedrockruntime/lib/aws-sdk-bedrockruntime/types.rb', line 1358 class InferenceConfiguration < Struct.new( :max_tokens, :temperature, :top_p, :stop_sequences) SENSITIVE = [] include Aws::Structure end |
#top_p ⇒ Float
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.
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# File 'gems/aws-sdk-bedrockruntime/lib/aws-sdk-bedrockruntime/types.rb', line 1358 class InferenceConfiguration < Struct.new( :max_tokens, :temperature, :top_p, :stop_sequences) SENSITIVE = [] include Aws::Structure end |