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

[COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

A quick guide (especially) for trending instruction finetuning datasets

KoLLaVA: Korean Large Language-and-Vision Assistant (feat.LLaVA)

🦜🔗 The platform for reliable agents.

A playbook for systematically maximizing the performance of deep learning models.

Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"

List of Korean pre-trained language models.

Open Source Data Annotation & Labeling Tools

Multi-Task Deep Neural Networks for Natural Language Understanding

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

[Boostcamp AI] 리뷰, 직접 쓰지 말고 이제는 FooReview로!

부스트캠프 AI Tech - Product Serving 자료

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

mrc-level2-nlp-04 created by GitHub Classroom

Boostcamp NLP Team