Machine studying + openAI: fixing textual content classification issues | Written by Ricardo Rivas

How we used openAI textual content classification emigrate an outdated answer to a extra elegant, strong, and scalable answer

As talked about in Previous articleWe talked about how we discovered the fundamentals of machine studying to resolve textual content classification issues. Attributable to my lack of expertise with machine studying and AI, it was essential for me to be pragmatic and discover a answer that:

1. Simple to make use of and preserve.
2. It isn’t costly.
3. Compatibility with present options.
4. Rapidly classify massive quantities of textual content.
5. Capacity to always enhance and refine.

From the analysis performed, OpenAI At first look, it appeared like one thing that might match the necessities of the answer.

In only a few strains, you may ship a request to the openAI API and get a classification response. For demonstration functions, I used the next instance. Reference for examples.

import OpenAI from "openai";
// Initialize the openai api key
const openai = new OpenAI({
apiKey: 'OPEN-AI-API-KEY'
});
const response =…