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Home Artificial Intelligence

Machine Studying + openAI: fixing a textual content classification downside | by Ricardo Ribas

Admin by Admin
January 12, 2025
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I Deployed My Knowledge Pipeline to AWS. Then The whole lot That Was “Native” Broke.

Put Your Personal Logic Contained in the Codex Agentic Loop


How I migrated an outdated resolution to a extra elegant, strong and scalable resolution utilizing textual content classification from openAI

Ricardo Ribas

Towards Data Science

Photograph by Hunter Harritt on Unsplash

As talked about within the earlier article, I talked about how I discovered the foundations of machine studying to be able to remedy 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 might be:

  1. Easy to make use of and keep;
  2. Not costly;
  3. Appropriate with current options;
  4. Rapidly classify huge quantities of textual content;
  5. Potential to be always 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 traces, 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 =…

Tags: ClassificationLearningMachineOpenAiProblemRibasRicardoSolvingText

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