From Probabilistic to Repeatable: Using Reflection to Make AI Systems More Reliable

The content addresses the challenge of using AI systems, like LLMs, in production, where their probabilistic nature leads to inconsistent outputs, despite often being correct. The goal is to transform these inherently probabilistic systems to behave as consistently and repeatably as possible, bringing them closer to the determinism required for real-world workflows.