Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
AACL-IJCNLP2022-KGC-Tutorial
Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction
ACL2022_KnowledgeNLP_Tutorial
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
AIgrads
This is a niche collection of research papers which are proven to be gradients pushing the field of Natural Language Processing, Deep Learning and Artificial Intelligence
Algorithm-Interview
经典算法&面试题的源代码实现项目
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
algorithms
Minimal examples of data structures and algorithms in Python
Applied-Deep-Learning
Applied Deep Learning Course
RAG-Survey-pku
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
csshali's Repositories
csshali/RAG-Survey-pku
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
csshali/Awesome-AGI
AGI资料汇总学习（主要包括LLM和AIGC），持续更新......
csshali/Awesome-Graph-LLM
A collection of AWESOME things about Graph-Related LLMs.
csshali/Awesome-Knowledge-Distillation-of-LLMs
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
csshali/awesome-llm-papers-interpretability
awesome papers in LLM interpretability
csshali/awesome-llm-security
A curation of awesome tools, documents and projects about LLM Security.
csshali/Awesome-LLM4IE-Papers
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
csshali/Awesome-Multitask-Learning
This repository periodicly updates the MTL paper and resources
csshali/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
csshali/Awesome-Scientific-Language-Models
A Curated List of Language Models in Scientific Domains
csshali/cognee
Memory management for the AI Applications and AI Agents
csshali/DAMO-ConvAI
DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.
csshali/DecryptPrompt
总结Prompt&LLM论文，开源数据&模型，AIGC应用
csshali/DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
csshali/dreeam
source code for {D}ocument-level {R}elation {E}xtraction with {E}vidence-guided {A}ttention {M}echanism
csshali/GenIR-Survey
This is the repository for the GenIR survey.
csshali/GML2023
Graph Machine Learning course, Xavier Bresson, 2023
csshali/GNN-RAG
GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning
csshali/GoLLIE
Guideline following Large Language Model for Information Extraction
csshali/iBook
收藏一些电子书
csshali/LLM-Optimizers-Papers
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
csshali/LLMPapers
Papers & Works for large languange models (ChatGPT, GPT-3, Codex etc.).
csshali/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
csshali/OpenAIWorkshop
workshop materials to build intelligent solutions on Open AI
csshali/prompt-in-context-learning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
csshali/pythia
The hub for EleutherAI's work on interpretability and learning dynamics
csshali/rag-from-scratch
csshali/RALM_Survey
This is a repository of RALM surveys containing a summary of state-of-the-art RAG and other technologies
csshali/Same-Task-More-Tokens
The code for the paper: "Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models"
csshali/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.