back to home
datawhalechina / jev-cookbook
⚡ 适合中国宝宝的 Jev 入门教程|手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验,从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调,全面掌握 System One 判断模型的开发范式
View on GitHub173 stars
22 forks
0 issues
Python
AI Architecture Analysis
This repository is indexed by RepoMind. By analyzing datawhalechina/jev-cookbook in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Source files are only loaded when you start an analysis to optimize performance.