Understanding text classification

A text classification task takes in text and returns a label. Classifying email as spam or determining the sentiment of a tweet are both examples of text classification tasks. There are multiple ways to do text classification using the OpenAI API and we've looked at some of them already. But one method we haven't covered yet is using the completions endpoint. However, before we dive into the completions endpoint, let's quickly review some of the different ways we can do text classification that we've already covered.

Using the completions endpoint for text classification

For starters, you can perform classification tasks using the completions endpoint by describing the task in our prompt. For example, the following prompt can be used to classify a social media post:

Social media post: "My favorite restaurant is opening again Monday. I can't wait!"
Sentiment (positive, neutral, negative):

The previous prompt...