LLM-Course
This repository contains all the materials for LLM courses in NEU China.
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Download Latest Version (.zip)- advance_rag_langchain.py
- bpe.py
- local_LLM.py
- moe.py
- rag.py
- rag_langchain.py
- react_search_tool.py
- transformer.py
- A Comprehensive Study of Knowledge Editing for Large Language Models.pdf
- A Survey of Large Language Models.pdf
- A Survey on Efficient Inference for Large Language Models.pdf
- A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.pdf
- A Systematic Survey of Prompt Engineering in Large Language Models : Techniques and Applications.pdf
- Deep Learning with Python 2nd Edn.pdf
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.pdf
- DeepSeek-V3 Technical Report.pdf
- Improving Language Understanding by Generative Pre-Training.pdf
- JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models.pdf
- Language Models are Few-Shot Learners.pdf
- Language Models are Unsupervised Multitask Learners.pdf
- Llama 2: Open Foundation and Fine-Tuned Chat Models.pdf
- LLaMA: Open and Efficient Foundation Language Models.pdf
- LoRA: Low-Rank Adaption Of Large Language Models.pdf
- Parameter-Efficient Fine-Tuning for Large Models : A Comprehensive Survey.pdf
- README.md
- Retrieval-Augmented Generation for AI-Generated Content: A Survey.pdf
- Training Language Models to Follow Instructions with Human Feedback.pdf
- Transformer Attention Is All You Need.pdf
- Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review.pdf
- ๅคงๆจกๅๅบ็ก ๅฎๆด็.pdf
- ๅฐ็ฝๅ ฅ้จDeepSeekๅฟ ๅค็50ไธช้ซ้ถๆ็คบ่ฏ.pdf
- ๆธ ๅๅคงๅญฆ๏ผDeepSeekไปๅ ฅ้จๅฐ็ฒพ้.pdf
- Job 1 (2025 Spring).md
- Job 2 (2025 Spring).md
- Exploring Large Lanuage Model Based Intelligent Agent Defintion Mothod and Prospects.pdf
- README.md
- SYLLABUS.md
// repository documentation
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