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gpt-35-turbo

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This repository contains resources related to, using resumes and job descriptions, the design of a system that enables the classification as suitable and not suitable between candidates and job positions in the field of software development and data science-related areas.

  • Updated Feb 2, 2024
  • Jupyter Notebook

Web-summarizer generates summary of a given URL using a fine-tuned GPT-3.5 model and Puppeteer to scrape the DOM. It also utilizes Redis to cache summaries, reducing overhead costs and improving request speed from 4.4 seconds to 500 milliseconds The full backend is containerized and deployed on Railway with integrated Jest unit tests running on Git

  • Updated Feb 16, 2024
  • TypeScript

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