CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Natural Language Processing Tutorial for Deep Learning Researchers

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

QLoRA: Efficient Finetuning of Quantized LLMs

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

TensorFlow Basic Tutorial Labs

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

BERT score for text generation

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

Korean BERT pre-trained cased (KoBERT)

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

🐙 OctoPack: Instruction Tuning Code Large Language Models

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

python tutorial

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.

Code Assistance/ Developer Productivity suite of Models

AI & Deep Leanring Seminar @ Artificial Intelligence Lab, Hanyang University

2021 ~ present. NLP 관련 공부 기록

This repository provides hands-on labs on PyTorch-based Distributed Training and SageMaker Distributed Training. It is written to make it easy for beginners to get started, and guides you through s…

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT2까지) 실습자료

오라클 SQL과 PL/SQL을 다루는 기술