Architecture section · In-depth analysis
In-depth analysis of AI large model architecture
Understand architectures such as Transformer, Mamba, MoE, and RAG, and master the mindset for architecture selection.
Target audience
Product manager: understand technical boundaries
Technical managers: architecture decisions
Developer: deeply understand the principles
Architect: selection and optimization
Learning objectives
Understand the Transformer architecture
Understand emerging architectural paradigms
Architecture selection thinking
Course outline
Transformer
O(n²)+Highly versatile and extensible
-High computational complexity
Mamba (SSM)
O(n)+Long-sequence processing, fast inference
-Limited expressive ability
MoE
Sparse activation+Ultra-large-scale model
-Routing is complex
RAG
Retrieval + generation+Knowledge updates, explainability
-Depends on retrieval quality