Sejin Jeong's starred repositories
langchain-kr
LangChain ๊ณต์ Document, Cookbook, ๊ทธ ๋ฐ์ ์ค์ฉ ์์ ๋ฅผ ๋ฐํ์ผ๋ก ์์ฑํ ํ๊ตญ์ด ํํ ๋ฆฌ์ผ์ ๋๋ค. ๋ณธ ํํ ๋ฆฌ์ผ์ ํตํด LangChain์ ๋ ์ฝ๊ณ ํจ๊ณผ์ ์ผ๋ก ์ฌ์ฉํ๋ ๋ฐฉ๋ฒ์ ๋ฐฐ์ธ ์ ์์ต๋๋ค.
Awesome-LLM-Quantization
Awesome list for LLM quantization
dev-collection
๋ถ๋งํฌ ๊ธ๋ชจ์์ ๋๋ค
Korean-OpenOrca
OpenOrca-KO dataset์ ํ์ฉํ์ฌ llama2๋ฅผ fine-tuningํ Korean-OpenOrca
transformers
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
nlp-with-transformers
<ํธ๋์คํฌ๋จธ๋ฅผ ํ์ฉํ ์์ฐ์ด ์ฒ๋ฆฌ> ์์ ์ฝ๋๋ฅผ ์ํ ์ ์ฅ์์ ๋๋ค.
Direct-Preference-Optimization
Direct Preference Optimization from scratch in PyTorch
honest_llama
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
fact-checker
Fact-checking LLM outputs with self-ask
NNFS-book-with-Implementation
Book and code where describe each and every topic of neural network from scratch.
acl2020-openqa-tutorial
ACL2020 Tutorial: Open-Domain Question Answering
Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
kollm_evaluation
์์ฒด ๊ตฌ์ถํ ํ๊ตญ์ด ํ๊ฐ ๋ฐ์ดํฐ์ ์ ์ด์ฉํ ํ๊ตญ์ด ๋ชจ๋ธ ํ๊ฐ
TruthfulQA
TruthfulQA: Measuring How Models Imitate Human Falsehoods
KnowledgeEditingPapers
[็ฅ่ฏ็ผ่พ] Must-read Papers on Knowledge Editing for Large Language Models.
KoBERT-NER
NER Task with KoBERT (with Naver NLP Challenge dataset)
regression-MLP-by-numpy
์ ํํ๊ท, ๋ก์ง์คํฑ ํ๊ท, MLP ๊ตฌํ
2021_IR_opendomainqa
2021 ์ ๋ณด๊ฒ์ ๊ณผ์ . ํ๊ตญ์ด ์ํคํผ๋์ ์คํ๋๋ฉ์ธ ์ง์์๋ต ์์คํ
ACL2022_KnowledgeNLP_Tutorial
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing