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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™”

Harheem Kim's Projects

asl-ml-immersion icon asl-ml-immersion

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

awesome-recsys icon awesome-recsys

This Repository includes papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems

clovacall icon clovacall

ClovaCall dataset and Pytorch LAS baseline code (Interspeech 2020)

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dify icon dify

An Open-Source Assistants API and GPTs alternative. Dify.AI is an LLM application development platform. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine.

fabric icon fabric

fabric is an open-source framework for augmenting humans using AI.

generative-ai-for-beginners icon generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI πŸ”— https://microsoft.github.io/generative-ai-for-beginners/

generative-ai-with-llms icon generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

help_nonmunmon icon help_nonmunmon

λΉ„μ „κ³΅μžλ₯Ό μœ„ν•œ λ…Όλ¬Έ μš©μ–΄ 해석 μ›Ή μ–΄ν”Œλ¦¬μΌ€μ΄μ…˜

jupyter icon jupyter

Jupyter metapackage for installation, docs and chat

knowledge-graph-rag-llama-index icon knowledge-graph-rag-llama-index

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 a large-scale knowledge base and improves the performance of natural language generation tasks.

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