Analysis
This article explores how to create stable AI systems by strategically placing Large Language Models (LLMs). It emphasizes the importance of architectural design, demonstrating how separating the LLM from core control loops and decision-making processes leads to more reliable and predictable performance. This is a crucial step towards building more robust and dependable AI applications.
Key Takeaways
- •Separating LLMs from core control loops is key for system stability.
- •This architecture prevents mixing of responsibilities, promoting clarity.
- •LLMs are best used for suggestion and analysis, not direct action.
Reference / Citation
View Original"LLM is powerful, but it becomes poison if you put it in the wrong place. To use LLMs smartly is not to believe in its ability, but to doubt the structure."