shyoulala / LMSYS_BlackPearl
☆67Updated 8 months ago
Alternatives and similar repositories for LMSYS_BlackPearl:
Users that are interested in LMSYS_BlackPearl are comparing it to the libraries listed below
- ☆172Updated 9 months ago
- Solution of Kaggle competition: LMSYS - Chatbot Arena Human Preference Predictions☆44Updated 8 months ago
- 6th Position Solution Code for Kaggle - LLM Science Exam Competition☆23Updated 9 months ago
- kaggle 2024 Eedi 第10名 金牌方案☆34Updated 3 months ago
- 1st Place Solution for Eedi - Mining Misconceptions in Mathematics Kaggle Competition☆37Updated 3 months ago
- 2023 Kaggle LECR 金牌 Top3 训练代码☆27Updated 2 years ago
- ☆12Updated 8 months ago
- 一些 LLM 方面的从零复现笔记☆185Updated last week
- 一个很小很小的RAG系统☆207Updated 4 months ago
- WWW2025 Multimodal Intent Recognition for Dialogue Systems Challenge☆120Updated 5 months ago
- ☆108Updated 9 months ago
- kaggle:otto competition☆20Updated 2 years ago
- 使用单个24G显卡,从0开始训练LLM☆53Updated 6 months ago
- 该仓库主要记录 LLMs 算法工程师相关的顶会论文研读笔记(多模态、PEFT、小样本QA问答、RAG、LMMs可解释性、Agents、CoT)☆317Updated last year
- ☆67Updated last year
- 2023全球智能汽车AI挑战赛——赛道一:AI大模型检索问答, 75+ baseline☆57Updated last year
- A collection of LogitsProcessors to customize and enhance LLM behavior for specific tasks.☆267Updated last month
- ☆14Updated 8 months ago
- This is a detailed code demo on how to conduct Full-Param Supervised Fine-tuning (SFT) and DPO (Direct Preference Optimization)☆13Updated 3 months ago
- 第四届厦门国际银行数创金融杯建模大赛冠军方案(含OCR预训练权重)☆13Updated 10 months ago
- 通义千问的DPO训练☆46Updated 7 months ago
- Synerise RecSys Challenge 2025☆55Updated last week
- Reinforcement Learning in LLM and NLP.☆34Updated this week
- RAG 论文学习☆117Updated last month
- ☆40Updated 8 months ago
- 1st Solution For Conversational Multi-Doc QA Workshop & International Challenge @ WSDM'24 - Xiaohongshu.Inc☆161Updated last year
- 3rd Place Solution for the OTTO – Multi-Objective Recommender System Competition☆122Updated 2 years ago
- ☆75Updated 2 months ago
- ☆44Updated 3 months ago
- 基于DPO算法微调语言大模型,简单好上手。☆37Updated 9 months ago