Meng Zhao's starred repositories
Fine-grained-Attribution
[ACL 2024 Findings] Learning Fine-Grained Grounded Citations for Attributed Large Language Models
leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
persona-hub
Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"
DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
MindSearch
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
so-large-lm
大模型基础: 一文了解大模型基础知识
awesome-llm-plaza
awesome llm plaza: daily tracking all sorts of awesome topics of llm, e.g. llm for coding, robotics, reasoning, multimod etc.
awesome-llm-courses
A curated list of awesome online courses about Large Langage Models (LLMs)
llmdocparser
A package for parsing PDFs and analyzing their content using LLMs.
metahuman-stream
Real time interactive streaming digital human
Awesome-AI-Agents
A collection of autonomous agents 🤖️ powered by LLM.
Awesome-Role-Play-Papers
Awesome papers for role-playing with language models
rag-best-practices
大模型检索增强生成技术最佳实践。
ChatIE
The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)
llm-structured-output-benchmarks
Benchmark various LLM Structured Output frameworks: Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, etc on tasks like multi-label classification, named entity recognition, synthetic data generation, etc.
SimplyRetrieve
Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.
LumberChunker
This repository presents the original implementation of LumberChunker: Long-Form Narrative Document Segmentation by André V. Duarte, João Marques, Miguel Graça, Miguel Freire, Lei Li and Arlindo L. Oliveira (under review for EMNLP 2024)
Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
QA-Survey-CN
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TableQA)、基于视觉的问答系统(VisualQA)和机器阅读理解(MRC)等,每类任务分别对学术界和工业界进行了相关总结。
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard