Awesome-LLM-for-RecSys and awesome-llm-os

Awesome-LLM-for-RecSys
52
Established
awesome-llm-os
47
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 16/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 11/25
Stars: 1,519
Forks: 86
Downloads:
Commits (30d): 0
Language:
License: MIT
Stars: 157
Forks: 11
Downloads:
Commits (30d): 0
Language:
License: CC0-1.0
No Package No Dependents
No Package No Dependents

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

About awesome-llm-os

bilalonur/awesome-llm-os

A curated list of awesome resources, tools, research papers, and projects related to the concept of Large Language Model Operating Systems (LLM-OS).

This is a curated collection of resources for understanding and developing "Large Language Model Operating Systems" (LLM OS). An LLM OS is a future vision of computing where you interact with your computer using natural language, like speaking to a helpful assistant. It compiles papers, articles, tools, and projects, providing a structured overview of this emerging field. Researchers, AI developers, and tech enthusiasts interested in the next generation of human-computer interaction will find this valuable.

AI-driven interfaces Natural language computing Future of operating systems Human-computer interaction LLM application development

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