March 15, 2024, 5:15 p.m. | Amanda Iglesias Moreno

Towards Data Science - Medium towardsdatascience.com

Unlocking efficient text classification with pre-trained models: a case study using OpenAI’s GPT-3.5-turbo

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Traditionally, any natural language processing text classification project would start with gathering instances, defining their respective labels, and training a classification model, such as a logistic regression model, to classify the instances. Currently, the models available in OpenAI can be directly used for classification tasks that would typically require collecting a substantial amount of labeled data to train the model. These pre-trained models can …

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