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AD-Styles/README.md

์•ˆ๋…•ํ•˜์„ธ์š”, '์›๋ฆฌ๋ฅผ ํŒŒ๊ณ ๋“ค์–ด ์‹ค์ „์— ์ ์šฉํ•˜๋Š”' AI ์—”์ง€๋‹ˆ์–ด ๊น€๋„์œค ์ž…๋‹ˆ๋‹ค. ๐Ÿ‘‹

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์ €๋Š” ๋‹จ์ˆœํžˆ ๋งŒ๋“ค์–ด์ง„ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์„ ๋„˜์–ด, "๋ชจ๋ธ ๋‚ด๋ถ€์˜ ํ•ต์‹ฌ ๋กœ์ง๊ณผ ์ˆ˜ํ•™์  ์›๋ฆฌ๋ฅผ ์ดํ•ดํ•ด์•ผ๋งŒ ์‹ค๋ฌด์˜ ์—ฃ์ง€ ์ผ€์ด์Šค(Edge Case)๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋‹ค" ๊ณ  ๋ฏฟ์Šต๋‹ˆ๋‹ค. ๋ฐ‘๋ฐ”๋‹ฅ๋ถ€ํ„ฐ ์ง์ ‘ ์ฝ”๋”ฉํ•˜๋ฉฐ ๋‹ค์ง„ '๊ธฐ์ดˆ ์ฒด๋ ฅ'์„ ๋ฐ”ํƒ•์œผ๋กœ, ์‹ค์ œ ๋„๋กœ ์œ„ ์œ„ํ—˜ ์š”์†Œ๋ฅผ ํƒ์ง€ํ•˜๋Š” ๊ณ ๋„ํ™”๋œ SOTA ๋ชจ๋ธ ์ตœ์ ํ™”๊นŒ์ง€ ์•„์šฐ๋ฅด๋Š” ํŒŒ์ดํ”„๋ผ์ธ์„ ๊ตฌ์ถ•ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.


๐Ÿ› ๏ธ Tech Stack & Skills

  • LLM & NLP: LangChain, Gemini 2.0 Flash API, Hugging Face Transformers, BERT
  • Computer Vision: PyTorch, Torchvision, YOLOv5, GANs
  • Data Engineering & Acceleration: NVIDIA RAPIDS (cuDF), Dask, CUDA (Numba)
  • MLOps & Deployment: NVIDIA Triton Inference Server, TensorRT, Hugging Face Spaces

1๏ธโƒฃ Natural Language Processing & LLM: ์ง€๋Šฅํ˜• ์‹œ์Šคํ…œ ์„ค๊ณ„ ๋ฐ ์ตœ์ ํ™”

  • nlp-portfolio (Conversational RAG Chatbot): LangChain๊ณผ Gemini 2.0 Flash๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ณต์žกํ•œ PDF ๋ฌธ์„œ๋ฅผ ์ดํ•ดํ•˜๊ณ  ๋‹ต๋ณ€ํ•˜๋Š” RAG ์‹œ์Šคํ…œ์„ ๊ตฌ์ถ•ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • Data Pipeline: PyPDFLoader๋ฅผ ํ™œ์šฉํ•œ ๋ฌธ์„œ ์ถ”์ถœ ๋ฐ Recursive Character Text Splitter ๊ธฐ๋ฐ˜์˜ ์ฒญํฌ(Chunk) ์ตœ์ ํ™”.
    • Vector Storage: ์ƒ์„ฑ๋œ ์ž„๋ฒ ๋”ฉ ๋ฒกํ„ฐ๋ฅผ ChromaDB(๋˜๋Š” FAISS)์— ์ €์žฅํ•˜์—ฌ ์‹œ๋งจํ‹ฑ ๊ฒ€์ƒ‰(Semantic Search) ํšจ์œจ ๊ทน๋Œ€ํ™”.
    • Deployment: Hugging Face Spaces๋ฅผ ํ†ตํ•œ ๋ชจ๋ธ ๋ฐฐํฌ ๋ฐ Streamlit ๊ธฐ๋ฐ˜ ์›น ์ธํ„ฐํŽ˜์ด์Šค ๊ตฌํ˜„.
  • nlp-triton-deployment (LLM Serving): ๋Œ€๊ทœ๋ชจ ์–ธ์–ด ๋ชจ๋ธ์˜ ์‹ค๋ฌด ์„œ๋น™์„ ์œ„ํ•ด NVIDIA Triton Inference Server๋ฅผ ๋„์ž…ํ–ˆ์Šต๋‹ˆ๋‹ค.
    • Dynamic Axis: ๋ชจ๋ธ ์„ค์ • ํŒŒ์ผ(config.pbtxt)์—์„œ dims: [-1]์„ ๋ช…์‹œํ•˜์—ฌ ๋‹ค์–‘ํ•œ ๊ธธ์ด์˜ ์‹œํ€€์Šค ์ž…๋ ฅ์„ ์œ ์—ฐํ•˜๊ฒŒ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์  ์ถ• ์ง€์› ํ™˜๊ฒฝ ๊ตฌ์ถ•.
    • Optimization: Dynamic Batching ๊ธฐ๋Šฅ ํ™œ์„ฑํ™” ๋ฐ TensorRT ์—”์ง„ ๋ณ€ํ™˜์„ ํ†ตํ•ด ๋ชจ๋ธ์˜ ์ถ”๋ก  ์ง€์—ฐ ์‹œ๊ฐ„(Latency) ์ตœ์†Œํ™” ๋ฐ ์ฒ˜๋ฆฌ๋Ÿ‰(Throughput) ๊ทน๋Œ€ํ™”.

2๏ธโƒฃ Computer Vision: ๊ธฐ์ดˆ ์›๋ฆฌ๋ถ€ํ„ฐ ์‹ค์ „ ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ๊นŒ์ง€

  • object-detection-fundamentals: ๋ธ”๋ž™๋ฐ•์Šค ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ์—†์ด IoU, NMS ๋ฐ ๋ฉ€ํ‹ฐํƒœ์Šคํฌ ์‹ ๊ฒฝ๋ง์˜ ํ•ต์‹ฌ ๋กœ์ง์„ ํ”ฝ์…€ ์ขŒํ‘œ๊ณ„ ๋‹จ์œ„๋ถ€ํ„ฐ ์ง์ ‘ ๊ตฌํ˜„ํ•˜๋ฉฐ ๋ชจ๋ธ์˜ ๊ธฐํ•˜ํ•™์  ๋™์ž‘ ์›๋ฆฌ๋ฅผ ์ฒด๋“ํ–ˆ์Šต๋‹ˆ๋‹ค.
  • yolov5-pothole-detector: YOLOv5๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์‹ค์‹œ๊ฐ„ ๋„๋กœ ์˜์ƒ์—์„œ ํฌํŠธํ™€์„ ํƒ์ง€ํ•˜๋Š” ํŒŒ์ดํ”„๋ผ์ธ์„ ๊ตฌ์ถ•ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‹จ์ผ ํด๋ž˜์Šค(nc=1) ์ปค์Šคํ…€ ํ•™์Šต์œผ๋กœ mAP50 0.85 ์ด์ƒ์˜ ํƒ์ง€ ์„ฑ๋Šฅ์„ ํ™•๋ณดํ–ˆ์Šต๋‹ˆ๋‹ค.

3๏ธโƒฃ Reinforcement Learning: ์ž์œจ ์—์ด์ „ํŠธ ์„ค๊ณ„

  • carracing-rl: CarRacing-v2 ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ™˜๊ฒฝ์—์„œ CNN ๊ธฐ๋ฐ˜์˜ ํŠน์ง• ์ถ”์ถœ, Frame Stacking, Experience Replay ๊ธฐ๋ฒ•์„ ๊ฒฐํ•ฉํ•˜์—ฌ ์Šค์Šค๋กœ ์ตœ์ ์˜ ์ฃผํ–‰ ๊ฒฝ๋กœ๋ฅผ ํ•™์Šตํ•˜๋Š” ๊ฐ•ํ™”ํ•™์Šต ์—์ด์ „ํŠธ๋ฅผ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค.

๐Ÿ”ญ Currently Working On (ํ˜„์žฌ ์ง„ํ–‰ ์ค‘์ธ ๊ณ ๋ฏผ๊ณผ ๋„์ „)

๋‹จ์ˆœํ•œ ๋ชจ๋ธ๋ง์„ ๋„˜์–ด, ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ ๊ฐ€์†ํ™”์™€ LLM ์ƒํƒœ๊ณ„์˜ ํšจ์œจ์  ์šด์˜์„ ์—ฐ๊ตฌํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

  • NVIDIA LLM Ecosystem ๊ณ ๋„ํ™”: NVIDIA NeMo๋ฅผ ํ™œ์šฉํ•œ ๋ชจ๋ธ ๋ฏธ์„ธ ์กฐ์ •๊ณผ NVIDIA NIM(Inference Microservices) ๊ธฐ๋ฐ˜์˜ ํด๋ผ์šฐ๋“œ ๋„ค์ดํ‹ฐ๋ธŒ ์ถ”๋ก  ํ™˜๊ฒฝ ๊ตฌ์ถ•์„ ๊นŠ์ด ์žˆ๊ฒŒ ํƒ๊ตฌํ•˜๋ฉฐ NCA-GENL(Generative AI LLMs) ์ž๊ฒฉ์ฆ ์ทจ๋“์„ ์ค€๋น„ ์ค‘์ž…๋‹ˆ๋‹ค.
  • GPU ๊ธฐ๋ฐ˜ ๋ฐ์ดํ„ฐ ํŒŒ์ดํ”„๋ผ์ธ ๊ฐ€์†: ๋Œ€๊ทœ๋ชจ ๋ฐ์ดํ„ฐ ์ „์ฒ˜๋ฆฌ ๋ณ‘๋ชฉ์„ ํ•ด์†Œํ•˜๊ธฐ ์œ„ํ•ด Dask ๋ถ„์‚ฐ ์ฒ˜๋ฆฌ์™€ NVIDIA RAPIDS (cuDF)๋ฅผ ํ™œ์šฉํ•œ GPU ๋ฉ”๋ชจ๋ฆฌ ๊ธฐ๋ฐ˜ ๋ฐ์ดํ„ฐํ”„๋ ˆ์ž„ ์—ฐ์‚ฐ์„ ์ตœ์ ํ™”ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
  • AI UX/UI ํ†ตํ•ฉ ์„ค๊ณ„: ์ถ”๋ก  ๊ฒฐ๊ณผ๋ฅผ ์‚ฌ์šฉ์ž์—๊ฒŒ ๊ฐ€์žฅ ํšจ์œจ์ ์œผ๋กœ ์ „๋‹ฌํ•˜๊ธฐ ์œ„ํ•ด 'Modern Wood' ์Šคํƒ€์ผ์˜ ์›น ์ฑ—๋ด‡ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ๊ธฐํš ๋ฐ ๊ตฌํ˜„(HTML/CSS/JS)ํ•˜๋ฉฐ ํ’€์Šคํƒ ๊ด€์ ์˜ ์‹œ์•ผ๋ฅผ ๋„“ํžˆ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๐Ÿ“ฌ Contact

Pinned Loading

  1. car-racing-dqn car-racing-dqn Public

    "CNN-DQN Autonomous Driving Agent for CarRacing" / "CNN-DQN ๊ธฐ๋ฐ˜ CarRacing ์ž์œจ์ฃผํ–‰ ์—์ด์ „ํŠธ"

    Python 1

  2. rag-chatbot rag-chatbot Public

    "Conversational RAG Chatbot: Paper analysis with LangChain & Gemini 2.0 Flash, deployed on Hugging Face Spaces." / "๋Œ€ํ™”ํ˜• RAG ์ฑ—๋ด‡: LangChain ๋ฐ Gemini 2.0 Flash๋ฅผ ํ™œ์šฉํ•œ ๋…ผ๋ฌธ ๋ถ„์„ ๋ฐ Hugging Face Spaces ๋ฐฐํฌ"

    Python 1

  3. rl-optimization-benchmark rl-optimization-benchmark Public

    "Multi-Environment RL Benchmark: Optimizing Q-Learning via Reward Shaping & Hyperparameter Tuning" / "๋‹ค์ค‘ ํ™˜๊ฒฝ ๊ฐ•ํ™”ํ•™์Šต ๋ฒค์น˜๋งˆํฌ: ๋ณด์ƒ ์„ค๊ณ„(Reward Shaping) ๋ฐ ํ•˜์ดํผํŒŒ๋ผ๋ฏธํ„ฐ ํŠœ๋‹์„ ํ†ตํ•œ Q-Learning ์ตœ์ ํ™”"

    Python 1

  4. kogpt2-korean-finetuning kogpt2-korean-finetuning Public

    "Optimizing Korean Text Generation via KoGPT-2 Fine-tuning and Decoding Strategy Analysis" / "KoGPT-2 ํ•œ๊ตญ์–ด ํŒŒ์ธํŠœ๋‹๊ณผ ๋””์ฝ”๋”ฉ ์ „๋žต ๋ถ„์„์„ ํ†ตํ•œ ๋ฌธ์žฅ ์ƒ์„ฑ ์ตœ์ ํ™”"

    Python 1

  5. resnet-transfer-learning-cifar10 resnet-transfer-learning-cifar10 Public

    Comparing ResNet50 vs ResNet101 transfer learning and fine-tuning on CIFAR-10 using TensorFlow. / TensorFlow ๊ธฐ๋ฐ˜ ResNet50 vs ResNet101 ์ „์ดํ•™์Šต/ํŒŒ์ธํŠœ๋‹ ๋น„๊ต ์‹ค์Šต

    Python 1

  6. multimodal-ai-sensor-fusion multimodal-ai-sensor-fusion Public

    Multimodal AI from scratch: RGB + LiDAR sensor fusion, CLIP-style contrastive pre-training, and cross-modal projection using PyTorch. / RGB ์นด๋ฉ”๋ผ์™€ LiDAR ์„ผ์„œ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ AI ๊ตฌํ˜„ โ€” ์กฐ๊ธฐยทํ›„๊ธฐยท์ค‘๊ฐ„ ์œตํ•ฉ ๋น„๊ต, CLIP โ€ฆ

    Python 1