I Built an Tagging Framework with LLMs for Classifying Text Data ...

Thread title names a repeated docs data judgment: I Built an Tagging Framework with LLMs for Classifying Text Data ...

CA clean typed decision with low volume or low value, or too vague to act on.1.74

Key facts

Vertical
Software & tech
Function
Agents & dev
Status
Seen in the wild
Volume
occasional
Value
minor
Risk
low
Evidence
built and shown
Flags
check-fit

Source: https://www.reddit.com/r/PythonProjects2/comments/1rb8ggc/i_built_an_tagging_framework_with_llms_for/

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 “I Built an Tagging Framework with LLMs for Classifying Text Data ...”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

Related use cases

Cite this

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