How I migrated an outdated resolution to a extra elegant, sturdy and scalable resolution utilizing textual content classification from openAI
As talked about within the earlier article, I talked about how I realized the foundations of machine studying with the intention to resolve an issue with textual content classification. As a result of lack of expertise with machine studying and AI, it was fairly vital to be pragmatic and discover a resolution that will be:
- Easy to make use of and preserve;
- Not costly;
- Suitable with present options;
- Shortly classify large quantities of textual content;
- Means to be consistently improved and refined;
From the performed analysis, OpenAI appeared at first look the one that will match the answer necessities.
With just some strains, you may make a request to the openAI api to get a classification response. For the sake of the demonstration, I used an instance from the examples reference.
import OpenAI from "openai";// Initialize the openai api key
const openai = new OpenAI({
apiKey: 'OPEN-AI-API-KEY'
});
const response =…