Query Intent Classification in chatbots using distilled transformers : r ...

Thread title names a repeated agent model routing judgment: Query Intent Classification in chatbots using distilled transformers : r ...

CA clean typed decision with low volume or low value, or too vague to act on.3.92

Key facts

Vertical
Software & tech
Function
Agents & dev
Status
Seen in the wild
Volume
routine
Value
meaningful
Risk
moderate
Evidence
insufficient context
Flags
None

Source: https://www.reddit.com/r/LanguageTechnology/comments/r46zry/query_intent_classification_in_chatbots_using/

Build this with a classifier

Define a typed decision with a bounded answer, then evaluate it on examples.

{
  "decision_type": "choice",
  "question": "Does this input match the decision in “Query Intent Classification in chatbots using distilled transformers : r ...”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

Related use cases

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