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the resources about the application based on LLM with RAG pattern
pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，LLaMA等模型应用在纠错场景，开箱即用。
A collection of papers and resources about knowledge graph enhanced large language models (KGLLM)
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Updated Jun 21, 2023
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
LangChain结合了大型语言模型、知识库和计算逻辑，可以用于快速开发强大的AI应用。这个仓库包含了我对LangChain的学习和实践经验，包括教程和代码案例。让我们一起探索LangChain的可能性，共同推动人工智能领域的进步！
Integrating ONgDB database into langchain ecosystem
Explore Langchain agents with LLMs and neo4j data generation and viz
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain
ACL2020 Tutorial: Open-Domain Question Answering
Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?
Prompt工程师指南，源自英文版，但增加了AIGC的prompt部分，为了降低同学们的学习门槛，翻译更新
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.
An open-source tool-augmented conversational language model from Fudan University
W266 final project
Final project starter code for the question answering final project, for Natural Language Processing at UT Austin
NLP学习笔记的Notebook，包含经典模型的理解与相关实践。
A PyTorch implementation of "Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation"
Ensemble and Multitask Learning with BERT for Question Answering on SQuAD 2.0
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。