awesome-llm and Awesome-LLM-for-RecSys

awesome-llm
52
Established
Awesome-LLM-for-RecSys
52
Established
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 18/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 16/25
Stars: 59
Forks: 12
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 1,519
Forks: 86
Downloads:
Commits (30d): 0
Language:
License: MIT
No Package No Dependents
No Package No Dependents

About awesome-llm

XiaomingX/awesome-llm

Awesome-LLM: a curated list of Large Language Model.🔥 大型语言模型(LLM)已经席卷了 全球,不再局限于 NLP 或 AI 社区。这里整理了一些关于大型语言模型,特别是与 ChatGPT 相关的研究论文,涵盖了 LLM 训练框架、部署工具、课程与教程,以及所有公开的 LLM 检查点和 API。

This is a curated list for anyone trying to understand and work with Large Language Models (LLMs). It provides a comprehensive overview of cutting-edge research, open-source models like Llama and DeepSeek, and tools for training, deployment, and evaluation. Researchers, AI engineers, and tech strategists can use this to quickly find relevant papers, frameworks, and trends in the rapidly evolving LLM space, from model checkpoints to training tutorials.

AI Research Machine Learning Engineering Model Development AI Strategy Computational Linguistics

About Awesome-LLM-for-RecSys

CHIANGEL/Awesome-LLM-for-RecSys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

This resource provides a comprehensive collection of research papers and materials exploring how large language models (LLMs) can enhance recommender systems. It organizes recent advancements in areas like feature engineering, user/item representation, and explanation generation, offering a structured overview of this rapidly evolving field. Researchers and practitioners in recommender systems, particularly those interested in leveraging cutting-edge AI for improved personalization, will find this collection valuable.

recommender-systems information-retrieval personalized-recommendations AI-research machine-learning

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