Class: Aws::Bedrock::Types::InferenceConfiguration

Inherits:

Struct

• Object
• Struct
• Aws::Bedrock::Types::InferenceConfiguration

Includes:

Structure

Defined in:

lib/aws-sdk-bedrock/types.rb

Overview

Base inference parameters to pass to a model. For more information, see [Inference parameters for foundation models].

[1]: docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #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.

Returns:

• (Integer)

# File 'lib/aws-sdk-bedrock/types.rb', line 9717

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.

Returns:

• (Array<String>)

# File 'lib/aws-sdk-bedrock/types.rb', line 9717

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.

Returns:

• (Float)

# File 'lib/aws-sdk-bedrock/types.rb', line 9717

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.

Returns:

• (Float)

# File 'lib/aws-sdk-bedrock/types.rb', line 9717

class InferenceConfiguration < Struct.new(
  :max_tokens,
  :temperature,
  :top_p,
  :stop_sequences)
  SENSITIVE = []
  include Aws::Structure
end