rookielyb's Stars
GrowingGit/GitHub-English-Top-Charts
Help you discover excellent English projects and get rid of disturbing by other spoken language.
GrowingGit/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
wang-research-lab/agentinstruct
Code repo for "Agent Instructs Large Language Models to be General Zero-Shot Reasoners"
frankaging/dancing-in-chains
Code and data for "Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models"
THUDM/LongWriter
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
1989Ryan/llm-mcts
[NeurIPS 2023] We use large language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling better-reasoned decision-making for daily task planning problems.
modelscope/ms-swift
Use PEFT or Full-parameter to finetune 300+ LLMs or 70+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
mtbench101/mt-bench-101
[ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
open-compass/BotChat
Evaluating LLMs' multi-round chatting capability via assessing conversations generated by two LLM instances.
NVIDIA/NeMo-Aligner
Scalable toolkit for efficient model alignment
MeetKai/functionary
Chat language model that can use tools and interpret the results
TsinghuaC3I/Intuitive-Fine-Tuning
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
ChenghaoMou/text-dedup
All-in-one text de-duplication
Ginjing-Yuan/QWen2-from_ground_up
Yazooliu/agent_from_0t1
手把手带你从0到1实现大模型agent
Steven-Luo/AISearchQA
可以在笔记本上运行的免费AI搜索问答助手
codefuse-ai/Awesome-Code-LLM
A curated list of language modeling researches for code and related datasets.
Pickupppp/custom-llm
实现一个自己的小语言模型
zhanshijinwat/Steel-LLM
Train a Chinese LLM From 0 by Personal
crazycth/WizardLearner
Pretrain、decay、SFT a CodeLLM from scratch 🧙♂️
Kyle-Lyu/CodeACT
The CodeACT framework is designed to address both the quality of training data and the efficiency of the fine-tuning process for Code LLMs.
xingyaoww/code-act
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
AIAnytime/Synthetic-Data-Generation-using-LLM
Synthetic Data Generation using LLM via Argilla, Distilabel, ChatGPT, etc.
argilla-io/distilabel
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
allanj/repo-level-codegen-papers
Repo-Level Code generation papers
netease-youdao/QAnything
Question and Answer based on Anything.
leeguandong/Awesome-Chinese-Stable-Diffusion
中文文生图stable diffsion模型集合
cristobalcl/LearningLangChain
My journey learning LangChain