How I migrated an previous 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 discovered the foundations of machine studying with the intention to remedy an issue with textual content classification. Because of the lack of expertise with machine studying and AI, it was fairly essential to be pragmatic and discover a resolution that might be:
- Easy to make use of and preserve;
- Not costly;
- Appropriate with current options;
- Rapidly classify large quantities of textual content;
- Capability to be continually improved and refined;
From the performed analysis, OpenAI appeared at first look the one that might match the answer necessities.
With only a few 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 =…
