🚀 Unlocking Productivity in AI Infrastructure
Over the past two years, I’ve developed and debugged numerous production pipelines, uncovering a crucial pattern: most failures aren’t immediate crashes but silent faults compromising system relevance, accuracy, and stability. To combat this, I created a public reference detailing 16 distinct failure modes encountered in real-world scenarios, including:
- Semantic drift after chunking
- Embedding/meaning mismatches
- Cross-session memory gaps
- Recursion traps
Why share this?
- Common Vocabulary: Naming failures speeds up discussions and resolutions.
- Early Detection: Teams can vet new features against these modes before deployment.
- Community Collaboration: Your insights can refine this resource, preventing future incidents.
This reference has already helped startups and fueled my projects to avoid hours of trial-and-error.
✨ Join the conversation! Check out the full table here and share your experiences or insights!
