rafaelsandroni/gpt3-data-labeling
Data labeling using few shot learning GPT-3.
This tool helps data analysts and researchers quickly categorize or tag text data, like customer reviews or survey responses, without needing extensive manual effort. It takes raw text inputs and provides corresponding labels, such as sentiment (positive, negative, neutral), based on advanced AI. This is ideal for anyone working with large volumes of text who needs to understand its underlying meaning or prepare it for further analysis.
No commits in the last 6 months.
Use this if you need to rapidly label or categorize large datasets of text and want to significantly reduce the time and cost associated with manual annotation.
Not ideal if your text data requires highly nuanced, subjective, or domain-specific labels that even human experts struggle to agree on.
Stars
25
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3
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 26, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/rafaelsandroni/gpt3-data-labeling"
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