mock_sobes
← Rasa — диалоговые боты и NLU
middle correct_vs_wrong #354
Бот должен корректно обрабатывать ситуации, когда NLU не уверен в intent или выдал слишком низкий confidence. Какой подход правильный?
Вариант 1
# config.yml
pipeline:
  - name: WhitespaceTokenizer
  - name: CountVectorsFeaturizer
  - name: DIETClassifier
    epochs: 100

policies:
  - name: RulePolicy
  - name: TEDPolicy

# rules.yml
rules:
  - rule: catch anything unknown
    steps:
      - intent: nlu_fallback
      - action: utter_default
Вариант 2
# config.yml
pipeline:
  - name: WhitespaceTokenizer
  - name: LanguageModelFeaturizer
    model_name: bert
    model_weights: DeepPavlov/rubert-base-cased
  - name: DIETClassifier
    epochs: 100
  - name: FallbackClassifier
    threshold: 0.6
    ambiguity_threshold: 0.1

policies:
  - name: RulePolicy
    core_fallback_threshold: 0.5
    core_fallback_action_name: action_default_fallback
    enable_fallback_prediction: true
  - name: TEDPolicy

# rules.yml
rules:
  - rule: low confidence fallback
    steps:
      - intent: nlu_fallback
      - action: action_two_stage_fallback
      - active_loop: action_two_stage_fallback

  - rule: out of scope
    steps:
      - intent: out_of_scope
      - action: utter_out_of_scope
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