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/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
csshali/lm-evaluation-harness
A framework for few-shot evaluation of language models.
csshali/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
csshali/ircot
Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
csshali/website
csshali/RGB
csshali/Machine-Learning-From-Scratch
Implementation of popular ML algorithms from scratch
csshali/FlagEmbedding
Dense Retrieval and Retrieval-augmented LLMs
csshali/LLMS_Library_2023
LLM_library is a comprehensive repository serves as a one-stop resource hands-on code, insightful summaries.
csshali/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
csshali/awesome-exploration-rl
A curated list of awesome exploration RL resources (continually updated)
csshali/RAG-Survey
csshali/LLM_Survey
csshali/awesome-refreshing-llms
EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
csshali/RL4LMs
A modular RL library to fine-tune language models to human preferences
csshali/ZeroPromptSearch
Implementation of an LLM prompting pipeline combined with wrappers for auto-decomposing reasoning steps and for search through the reasoning-step-space (eg. by beam search, MCTS etc.) guided by self-evaluation.
csshali/rag_survey
csshali/reflexion
[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
csshali/FineGrainedRLHF
csshali/CoT-Igniting-Agent
This repository contains the paper list for the paper: Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents
csshali/Awesome-LLM-with-RAG
[In Progress]
csshali/Awesome-LLMs-Evaluation-Papers
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
csshali/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
csshali/LLM-Factuality-Survey
The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>
csshali/langroid
Harness LLMs with Multi-Agent Programming
csshali/haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
csshali/awesome-generative-information-retrieval
csshali/LLM-Agent-Survey
csshali/csshali.github.io
A Jekyll theme for academia
csshali/Postgres-AI-Tutorial