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  • Seoul

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daegonYu/README.md

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  1. ko-sLLM ko-sLLM Public

    μƒμ—…μ μœΌλ‘œ μ‚¬μš©κ°€λŠ₯ν•œ ν•œκ΅­μ–΄ gpt λͺ¨λΈλ“€μ„ λͺ¨μ•„λ΄€μŠ΅λ‹ˆλ‹€. 직접 μ„±λŠ₯을 비ꡐ해보고 μžμ‹ μ˜ 데이터 μ…‹μœΌλ‘œ νŒŒμΈνŠœλ‹ ν•΄λ³΄μ„Έμš”.

    Jupyter Notebook

  2. finetuning-llama-2-using-csv-data finetuning-llama-2-using-csv-data Public

    Simple ipynb file. Train llama-2 model with your csv data.

    Jupyter Notebook 1 1

  3. AutoMated-Essay-Scoring-Model-Fine-tuning-in-Korean AutoMated-Essay-Scoring-Model-Fine-tuning-in-Korean Public

    AES(Automated Essay Scoring) Model Fine-Tuning in Korea Essay Data.

    Jupyter Notebook

  4. Automated-Essay-Scoring-Simple-Web Automated-Essay-Scoring-Simple-Web Public

    This repo is a simple webpage that automatically calculates your essay score. it used Pytorch and flask.

    Jupyter Notebook

  5. UsingSeleniumToAutomation UsingSeleniumToAutomation Public

    μ…€λ ˆλ‹ˆμ›€(동적 크둀링 라이브러리)을 μ΄μš©ν•œ μžλ™ν™”

    Jupyter Notebook

  6. CreateImage-usingGPT CreateImage-usingGPT Public

    Open AI, APIλ₯Ό μ‚¬μš©ν•˜μ—¬ μΉ΄μΉ΄μ˜€ν†‘ 이λͺ¨ν‹°μ½˜μœΌλ‘œ μ‚¬μš©ν•  수 μžˆλŠ” 이λͺ¨ν‹°μ½˜ 생성 μ‚¬μ΄νŠΈ

    HTML 1