In a previous article I had detailed how I designed a sequential agent system using LLAMA 3 with ollama, which would create automated reports including top reasons for churn and top recommended actions to minimize churn from telco dataset. The results from this simple agent system was surpringly good. However there were few challenges still

Introduction Advancements in AI have rapidly evolved from simple models to complex Large Language Models (LLMs). This article explores using LLMs with SHAP (Shapley Additive Explanations) values to enhance model interpretability, helping end-users, particularly call center agents, understand model predictions effectively. The AI landscape has progressed significantly from the days when linear regression models were