Class: Aws::BedrockAgentRuntime::Types::TextInferenceConfig

Inherits:

Struct

• Object
• Struct
• Aws::BedrockAgentRuntime::Types::TextInferenceConfig

Defined in:

gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb

Overview

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.

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.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #max_tokens ⇒ Integer

  The maximum number of tokens to generate in the output text.

• #stop_sequences ⇒ Array<String>

  A list of sequences of characters that, if generated, will cause the model to stop generating further tokens.

• #temperature ⇒ Float

  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.

• #top_p ⇒ Float

  A probability distribution threshold which controls what the model considers for the set of possible next tokens.

Instance Attribute Details

#max_tokens ⇒ Integer

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.

Returns:

• (Integer)

# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 3639

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

#stop_sequences ⇒ Array<String>

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.

Returns:

• (Array<String>)

# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 3639

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

#temperature ⇒ Float

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.

Returns:

• (Float)

# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 3639

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

#top_p ⇒ Float

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.

Returns:

• (Float)

# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 3639

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