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harheem/README.md

Harheem Kim

Hello world!Β 

πŸš€ μ£Όμš” ν”„λ‘œμ νŠΈ κ²½ν—˜

  1. Qiskitμ—μ„œ Crowdin ν”„λ‘œμ νŠΈμ— μ°Έμ—¬ν•˜μ—¬ Qiskit-Docs ν•œκΈ€ν™” μž‘μ—… κΈ°μ—¬
    • Python, μ–‘μžμ»΄ν“¨ν„°, λ¬Έμ„œν™”, λ²ˆμ—­ μž‘μ—…, Markdown, jupyter notebook
  2. Getting Started with Qiskit (explained by a software developer, not a quantum physicist) 아티클 λ²ˆμ—­ μž‘μ—…
    • Python, μ–‘μžμ»΄ν“¨ν„°, λ¬Έμ„œν™”, λ²ˆμ—­ μž‘μ—…, Markdown, jupyter notebook
  3. 2020 μ˜€ν”ˆμ†ŒμŠ€ μ»¨νŠΈλ¦¬λ·°ν†€ - Tensorflow Lite for Microcontroller ν”„λ‘œμ νŠΈ
    • Python, Tensorflow, μ±… 및 μ½”λ“œ κ²€μˆ˜, 라즈베리 파이, C, C++, Markdown, jupyter notebook, Github
  4. 청각μž₯애인을 μœ„ν•œ μŒμ„± 기반 μœ„ν—˜ 인식 μ–΄ν”Œ λͺ¨λΈ κ΅¬ν˜„
    • Python, Tensorflow, ConvNet, Github
  5. Kaggle: Riiid Answer Correctness Prediction μ—μ„œ 149λ“±μœΌλ‘œ 은메달 πŸ₯ˆ
    • Python, λ¨Έμ‹ λŸ¬λ‹, NLP, 트랜슀포머, jupyter notebook
  6. ν•˜νŠΈμΉ΄μš΄νŠΈ - 2022 데이터 νžˆμ–΄λ‘œ 1κΈ° 멀버
    • 데이터 μ‹œκ°ν™”, 데이터 뢄석, λͺ¨λΈλ§, 데이터 ν™œμš© 방법
  7. 2020 ꡬ글 λ¨Έμ‹ λŸ¬λ‹ λΆ€νŠΈμΊ ν”„ 1κΈ° 멀버
    • Python, ML, CNN, RNN, Tensorflow2, GCP, Image Generator, jupyter notebook
  8. μ—¬ν–‰μ—λ―ΈμΉ˜λ‹€ νŒ”λ‘œμ›Œ 수 ν–₯상을 μœ„ν•œ 데이터 뢄석 ν”„λ‘œμ νŠΈ μˆ˜ν–‰
    • EDA, 데이터 μ „μ²˜λ¦¬, 데이터 μ‹œκ°ν™”, 데이터 뢄석, XGboost, LLM, ChatGPT, Looker Studio, AWS Rekognition
  9. ChatGPT MS애저톀 - ꡐ윑 λΆ„μ•Ό ν”„λ‘¬ν”„νŠΈ μ—”μ§€λ‹ˆμ–΄λ§ λΆ€λΆ„ μš°μˆ˜μƒ (우리 아이λ₯Ό μœ„ν•œ 과학동화 ν”„λ‘¬ν”„νŠΈ)
    • ν”„λ‘¬ν”„νŠΈ μ—”μ§€λ‹ˆμ–΄λ§, λ¬Έμ„œν™”
  10. Kaggle: LLM - Detect AI Generated Text μ—μ„œ 326λ“±μœΌλ‘œ 동메달 πŸ₯‰
    • ν”„λ‘œμ νŠΈ νŒ€ 리더, Feature Extraction, λ…Όλ¬Έ κ΅¬ν˜„, Transformer, Ensemble
  11. 도배 ν•˜μž 질의 응닡 처리 : ν•œμ†”λ°μ½” μ‹œμ¦Œ2 AI κ²½μ§„λŒ€νšŒ - 2024 μƒμœ„ 4% (17λ“±) πŸ₯ˆ
    • ν”„λ‘œμ νŠΈ νŒ€ 리더, RAG, LLM, langchain, VectorDB, ν”„λ‘¬ν”„νŠΈ μ—”μ§€λ‹ˆμ–΄λ§, Prompt Tuning, Embedding Fine Tuning
  12. Prompt Engineering Guide ν•œκΈ€ν™”

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    The official Python client for the Huggingface Hub.

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  6. knowledge-graph-rag-llama-index knowledge-graph-rag-llama-index Public

    This repository demonstrates how to integrate Llama-Index and a knowledge graph into the RAG (Retrieval-Augmented Generation) architecture. By doing so, it enables the retrieval of information from…

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