liguodongiot/llm-action

本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)

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Established

This project provides practical guidance and hands-on examples for anyone looking to build, optimize, and deploy large language models (LLMs). It covers the entire lifecycle of LLM development, from training and fine-tuning to efficient inference and compression techniques. If you're an AI engineer, machine learning practitioner, or researcher, you'll find comprehensive resources to help you implement advanced LLM solutions.

23,504 stars.

Use this if you need to understand and apply techniques for training, fine-tuning, deploying, and optimizing large language models for real-world applications.

Not ideal if you are looking for a simple, out-of-the-box LLM application that requires no technical implementation or deep understanding of AI model development.

AI engineering machine learning operations LLM development model optimization natural language processing
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

23,504

Forks

2,714

Language

HTML

License

Apache-2.0

Last pushed

Mar 12, 2026

Commits (30d)

0

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