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Score ChatGPT and use it for classification

This workflow relies on zero-shot and few-shot learning via prompt engineering to score ChatGPT. Next, the user can apply the best performing settings to the entire dataset to classify unlabelled rows.

Input API KeyRequest it at: https://openai.com/api/ Select model Score modelperformance Score ChatGPT and use it for classificationThis workflow relies on zero-shot and few-shot learning via prompt engineering to score ChatGPT. Next, the user can applythe best performing settings to the entire dataset to classify unlabelled rows. Classify dataset Execute and openinteractive view Step 2: confusion matrixand class/cverall accuracyStep 1: sample upload &selection of type of learninggpt-3.5-turboProvide API key Monitor ModelPerformance Sample Upload &Type of Learning Select model Dataset upload Classify dataset Input API KeyRequest it at: https://openai.com/api/ Select model Score modelperformance Score ChatGPT and use it for classificationThis workflow relies on zero-shot and few-shot learning via prompt engineering to score ChatGPT. Next, the user can applythe best performing settings to the entire dataset to classify unlabelled rows. Classify dataset Execute and openinteractive view Step 2: confusion matrixand class/cverall accuracyStep 1: sample upload &selection of type of learninggpt-3.5-turboProvide API key Monitor ModelPerformance Sample Upload &Type of Learning Select model Dataset upload Classify dataset

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: roberto.cadili
Created at: 2023-03-09
On NodePit since: 2023-07-12
Last update: 2024-04-26
Created with KNIME version: v4.7.5
Tags: ChatGPTOpenAIPOST RequestClassificationModel scoring

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