daekeun-ml / evaluate-llm-on-korean-datasetLinks
Performs benchmarking on two Korean datasets with minimal time and effort.
☆40Updated last month
Alternatives and similar repositories for evaluate-llm-on-korean-dataset
Users that are interested in evaluate-llm-on-korean-dataset are comparing it to the libraries listed below
Sorting:
- huggingface에 있는 한국어 데이터 세트☆28Updated 8 months ago
- Reward Model을 이용하여 언어모델의 답변을 평가하기☆28Updated last year
- bpe based korean t5 model for text-to-text unified framework☆63Updated last year
- KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models☆25Updated 10 months ago
- AutoRAG example about benchmarking Korean embeddings.☆39Updated 8 months ago
- StrategyQA 데이터 세트 번역☆22Updated last year
- Official repository for KoMT-Bench built by LG AI Research☆63Updated 10 months ago
- ☆32Updated last year
- 구글에서 발표한 Chain-of-Thought Reasoning without Prompting을 코드로 구현한 레포입니다.☆66Updated 8 months ago
- 한국어 LLM 리더보드 및 모델 성능/안전성 관리☆22Updated last year
- ☆35Updated last year
- LINER PDF Chat Tutorial with ChatGPT & Pinecone☆47Updated 2 years ago
- CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean☆45Updated 6 months ago
- Forked repo from https://github.com/EleutherAI/lm-evaluation-harness/commit/1f66adc☆78Updated last year
- High-performance vector search engine with no loss of accuracy through GPU and dynamic placement☆29Updated last year
- BERT score for text generation☆12Updated 5 months ago
- 자체 구축한 한국어 평가 데이터셋을 이용한 한국어 모델 평가☆31Updated last year
- LLM 모델의 외국어 토큰 생성을 막는 코드 구현☆74Updated 2 months ago
- ☆94Updated 6 months ago
- ☆20Updated 11 months ago
- ☆20Updated last year
- OpenOrca-KO dataset을 활용하여 llama2를 fine-tuning한 Korean-OpenOrca☆19Updated last year
- For the rlhf learning environment of Koreans☆23Updated last year
- ☆19Updated 4 years ago
- 한국어 언어 모델 학습을 위한 프로젝트(Flax, Pytorch with Huggingface Accelerate)☆32Updated last year
- The most modern LLM evaluation toolkit☆60Updated this week
- 한국어 T5 모델☆54Updated 3 years ago
- Make running benchmark simple yet maintainable, again. Now only supports Korean-based cross-encoder.☆18Updated this week
- 🤗 최소한의 세팅으로 LM을 학습하기 위한 샘플코드☆58Updated 2 years ago
- ☆11Updated 6 months ago