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 previous article, I talked about how I discovered the foundations of machine studying with a purpose to resolve 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 keep;
- Not costly;
- Suitable with current options;
- Shortly classify massive quantities of textual content;
- Capacity to be continuously improved and refined;
From the carried out analysis, OpenAI appeared at first look the one that might match the answer necessities.
With only a few strains, you can also 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 =…
