Awesome-LLMOps and awesome-llm

Awesome-LLMOps
56
Established
awesome-llm
52
Established
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 18/25
Stars: 215
Forks: 40
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 59
Forks: 12
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About Awesome-LLMOps

InftyAI/Awesome-LLMOps

🎉 An awesome & curated list of best LLMOps tools.

This is a curated list of tools for managing and deploying Large Language Models (LLMs) in a production environment. It helps engineers and machine learning practitioners find solutions for common tasks like running LLMs efficiently, orchestrating complex AI applications, and training or fine-tuning models. It takes in a need to implement an LLM-based solution and outputs a selection of suitable tools for different stages of the LLM lifecycle.

LLM deployment AI model operations Machine learning engineering AI application development Model scaling

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

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