Cascading models aiming to generate DGE labels or 'unknown' (OOD) labels for given texts. Input text goes into a BERT binary classification model to see if it is related to grooming problems/painpoints. For those related texts, they then need to pass through a finetuned GPT-3 Davinci model to get corresponding JTBD (DGE) labels.
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TeTeTang/Grooming-JTBD-Streamlit
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