julycoding / ChatGPT_principle_fine-tuning_code_paperLinks
本『ChatGPT资源库(原理/微调/代码/论文)』的初始版本来自July CSDN博客上阅读量高达50万的ChatGPT系列,联合发起人:七月ChatGPT原理课学员,6月初正式对外发布
☆224Updated last year
Alternatives and similar repositories for ChatGPT_principle_fine-tuning_code_paper
Users that are interested in ChatGPT_principle_fine-tuning_code_paper are comparing it to the libraries listed below
Sorting:
- 《ChatGPT原理与实战:大型语言模型的算法、技术和私有化》☆370Updated 2 years 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)☆373Updated last year
- 开源SFT数据集整理,随时补充☆571Updated 2 years ago
- YuLan: An Open-Source Large Language Model☆634Updated last year
- The repo for Tsinghua summer course: Interdisciplinary Seminar on Big Models☆373Updated 3 years ago
- website☆462Updated 11 months ago
- personal chatgpt☆406Updated 3 weeks ago
- 欢迎来到 "LLM-travel" 仓库!探索大语言模型(LLM)的奥秘 🚀。致力于深入理解、探讨以及实现与大模型相关的各种技术、原理和应用。☆371Updated last year
- Tuning LLMs with no tears💦; Sample Design Engineering (SDE) for more efficient downstream-tuning.☆1,019Updated last year
- LLMs interview notes and answers:该仓库主要记录大模型(LLMs)算法工程师相关的面试题和参考答案☆1,300Updated 2 years ago
- Baichuan2代码的逐行解析版本,适合小白☆213Updated 2 years ago
- OpenLLMWiki: Docs of OpenLLMAI. Survey, reproduction and domain/task adaptation of open source chatgpt alternatives/implementations. PiXi…☆262Updated last year
- LLMs interview notes and answers:该仓库主要记录大模型(LLMs)算法工程师相关的面试题和参考答案☆617Updated 2 years ago
- 简单易懂的LLaMA微调指南。☆415Updated 2 years ago
- This is a repository used by individuals to experiment and reproduce the pre-training process of LLM.☆495Updated 9 months ago
- 大模型多维度中文对齐评测基准 (ACL 2024)☆421Updated 3 months ago
- 一些 LLM 方面的从零复现笔记☆243Updated 9 months ago
- 中文大模型微调(LLM-SFT), 数学指令数据集MWP-Instruct, 支持模型(ChatGLM-6B, LLaMA, Bloom-7B, baichuan-7B), 支持(LoRA, QLoRA, DeepSpeed, UI, TensorboardX), 支持(微…☆216Updated last year
- an intro to retrieval augmented large language model☆306Updated 2 years ago
- Firefly中文LLaMA-2大模型,支持增量预训练Baichuan2、Llama2、Llama、Falcon、Qwen、Baichuan、InternLM、Bloom等大模型☆416Updated 2 years ago
- 此项目完成了关于 NLP-Beginner:自然语言处理入门练习 的所有任务(文本分类、信息抽取、知识图谱、机器翻译、问答系统、文本生成、Text-to-SQL、文本纠错、文本挖掘、知识蒸馏、模型加速、OCR、TTS、Prompt、embedding等),所有代码都经过测试…☆217Updated 2 years ago
- 活字通用大模型☆391Updated last year
- basic framework for rag(retrieval augment generation)☆86Updated 2 years ago
- AGI资料汇总学习(主要包括LLM和AIGC),持续更新......☆475Updated 2 months ago
- 对llama3进行全参微调、lora微调以及qlora微调。