Essay

Diagnosing and Improving Context Management in a Conversational AI

A developer is creating a technical support chatbot. To maintain conversation history, their current strategy is to append the entire transcript of the ongoing conversation to every new user query before sending it to the language model. They observe that while the bot performs well in short conversations, its responses become less relevant and it starts to 'forget' details mentioned earlier as conversations exceed 20-30 turns. Based on the principles of strategic information management for large context windows, analyze the two most likely reasons for the chatbot's declining performance in longer conversations. For each reason, propose a specific, alternative strategy to structure or select the conversational history that would mitigate the issue.

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Updated 2025-10-06

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Ch.5 Inference - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

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Analysis in Bloom's Taxonomy

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