liguodongiot/ai-system
LLM/MLOps/LLMOps
This project offers practical guidance and technical principles for building and maintaining AI systems. It covers the end-to-end lifecycle of machine learning models, from data management to deployment and ongoing monitoring. Machine learning engineers, data scientists, and operations professionals responsible for bringing AI models into production would find this useful for managing their workflows and ensuring model reliability.
138 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist looking for best practices and real-world examples to manage the entire lifecycle of your AI models, from development to production.
Not ideal if you are an end-user without a technical background in machine learning and MLOps, as this content is geared towards practitioners building and maintaining AI systems.
Stars
138
Forks
23
Language
HTML
License
Apache-2.0
Category
Last pushed
May 26, 2025
Commits (30d)
0
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