Summary
This r/ML discussion explores how experienced practitioners document their machine learning system architectures, moving beyond just the modeling side. The user specifically asks whether teams maintain architecture diagrams for components like training pipelines, RAG systems, or batch scoring setups, and how these diagrams are created and kept updated in practice. It highlights a common challenge in MLOps regarding system design and documentation best practices.
Continue Reading
Explore related coverage about community news and adjacent AI developments: [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT, [r/LocalLLaMA] karpathy / autoresearch, [r/ML] [R] Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis (236 occupations, 5 US metros), [r/ML] Building behavioural response models of public figures using Brain scan data (Predict their next move using psychological modelling) [P].
Related Articles
- [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
March 29, 2026
- [r/LocalLLaMA] karpathy / autoresearch
March 10, 2026
- [r/ML] [R] Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis (236 occupations, 5 US metros)
April 7, 2026
- [r/ML] Building behavioural response models of public figures using Brain scan data (Predict their next move using psychological modelling) [P]
April 5, 2026
Comments
Sign in to leave a comment.