The evolution from prototypes of generative AI to scalable, production-grade agents faces significant engineering challenges, particularly surrounding reliability. Given the stochastic nature of large language models (LLMs), prompts that succeed once may not yield the same result upon repetition. To counter this unpredictability, development teams typically implement complex error-handling mechanisms, which can complicate maintenance. Researchers […]
