Agentic AI and Generative AI Interview Questions with Answers
. An enterprise chat assistant you built for a Fortune 500 client gets less accurate the longer a conversation runs. How would you find the cause and fix it? A N S W E R G UI D E CORE ANSWER Accuracy that decays with conversation length is rarely the model 'getting tired'. Almost always it is a context-management problem: the prompt keeps growing, important facts get diluted or silently truncated, early instructions lose influence, and contradictory turns pile up. The strong answer is to prove this with data first, then redesign how context is assembled instead of just buying a bigger window. STEP-BY-STEP APPROACH 1. Measure the decay: Build an evaluation set of long, realistic conversations and plot accuracy against turn number and prompt token count. A curve that bends after a certain token count points straight at context handling. 2. Inspect the real prompt: Log the fully assembled prompt for failing turns. Che...