chunhuizhang / bert_t5_gptLinks
☆81Updated last month
Alternatives and similar repositories for bert_t5_gpt
Users that are interested in bert_t5_gpt are comparing it to the libraries listed below
Sorting:
- personal chatgpt☆404Updated last week
- 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。☆365Updated last year
- 使用单个24G显卡,从0开始训练LLM☆56Updated 6 months ago
- 一些 LLM 方面的从零复现笔记☆243Updated 8 months ago
- 对llama3进行全参微调、lora微调以及qlora微调。☆214Updated last year
- an implementation of transformer, bert, gpt, and diffusion models for learning purposes☆159Updated last year
- 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)☆370Updated last year
- ☆120Updated last year
- This is a repository used by individuals to experiment and reproduce the pre-training process of LLM.☆488Updated 8 months ago
- ☆115Updated last year
- Train a 1B LLM with 1T tokens from scratch by personal☆784Updated 8 months ago
- Inference code for LLaMA models☆128Updated 2 years ago
- ☆109Updated 7 months ago
- WWW2025 Multimodal Intent Recognition for Dialogue Systems Challenge☆130Updated last year
- 怎么训练一个LLM分词器☆154Updated 2 years ago
- 《ChatGPT原理与实战:大型语言模型的算法、技术和私有化》☆369Updated 2 years ago
- 包含程序员面试大厂面试题和面试经验☆204Updated 8 months ago
- 从0开始,将chatgpt的技术路线跑一遍。☆271Updated last year
- 从0到1构建一个MiniLLM (pretrain+sft+dpo实践中)☆516Updated 9 months 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…☆216Updated 2 years ago
- ☆77Updated 2 years ago
- Code for a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models☆67Updated 11 months ago
- ChatGLM-6B添加了RLHF的实现,以及部分核心代码的逐行讲解 ,实例部分是做了个新闻短标题的生成,以及指定context推荐的RLHF的实现☆88Updated 2 years ago
- 快速入门RAG与私有化部署☆212Updated last year
- MindSpore online courses: Step into LLM☆481Updated 3 weeks ago
- llm & rl☆266Updated 2 months ago
- pytorch分布式训练☆73Updated 2 years ago
- 通义千问 的DPO训练☆61Updated last year
- 从零到一实现一个 miniLLM~(动手学习LLM)☆77Updated last year
- 大语言模型应用:RAG、NL2SQL、聊天机器人、预训练、MOE混合专家模型、微调训练、强化学习、天池数据竞赛☆74Updated 11 months ago