awesome-llm and Awesome-LLM-Ensemble

awesome-llm
52
Established
Awesome-LLM-Ensemble
48
Emerging
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 18/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 12/25
Stars: 59
Forks: 12
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 205
Forks: 15
Downloads:
Commits (30d): 0
Language: HTML
License: Apache-2.0
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-Ensemble

junchenzhi/Awesome-LLM-Ensemble

A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"

This is a curated list of research papers and implementations focusing on how to combine multiple large language models (LLMs) to improve their performance on various tasks. It categorizes different strategies for leveraging multiple LLMs together, whether before, during, or after they process information. Researchers, AI engineers, and machine learning practitioners who work with LLMs and want to explore advanced techniques for enhancing their capabilities would find this resource useful.

Large Language Models AI Research Model Optimization Natural Language Processing Machine Learning Engineering

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