Class: Google::Cloud::Dialogflow::V2::InferenceParameter
- Inherits:
-
Object
- Object
- Google::Cloud::Dialogflow::V2::InferenceParameter
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/dialogflow/v2/generator.rb
Overview
The parameters of inference.
Instance Attribute Summary collapse
-
#max_output_tokens ⇒ ::Integer
Optional.
-
#temperature ⇒ ::Float
Optional.
-
#top_k ⇒ ::Integer
Optional.
-
#top_p ⇒ ::Float
Optional.
Instance Attribute Details
#max_output_tokens ⇒ ::Integer
Returns Optional. Maximum number of the output tokens for the generator.
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# File 'proto_docs/google/cloud/dialogflow/v2/generator.rb', line 227 class InferenceParameter include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#temperature ⇒ ::Float
Returns Optional. Controls the randomness of LLM predictions. Low temperature = less random. High temperature = more random. If unset (or 0), uses a default value of 0.
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# File 'proto_docs/google/cloud/dialogflow/v2/generator.rb', line 227 class InferenceParameter include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#top_k ⇒ ::Integer
Returns Optional. Top-k changes how the model selects tokens for output. A top-k of 1 means the selected token is the most probable among all tokens in the model's vocabulary (also called greedy decoding), while a top-k of 3 means that the next token is selected from among the 3 most probable tokens (using temperature). For each token selection step, the top K tokens with the highest probabilities are sampled. Then tokens are further filtered based on topP with the final token selected using temperature sampling. Specify a lower value for less random responses and a higher value for more random responses. Acceptable value is [1, 40], default to 40.
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# File 'proto_docs/google/cloud/dialogflow/v2/generator.rb', line 227 class InferenceParameter include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#top_p ⇒ ::Float
Returns Optional. Top-p changes how the model selects tokens for output. Tokens are selected from most K (see topK parameter) probable to least until the sum of their probabilities equals the top-p value. For example, if tokens A, B, and C have a probability of 0.3, 0.2, and 0.1 and the top-p value is 0.5, then the model will select either A or B as the next token (using temperature) and doesn't consider C. The default top-p value is 0.95. Specify a lower value for less random responses and a higher value for more random responses. Acceptable value is [0.0, 1.0], default to 0.95.
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# File 'proto_docs/google/cloud/dialogflow/v2/generator.rb', line 227 class InferenceParameter include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |