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A significant drawback of external memory models is their high computational overhead. The processes of initially constructing the memory datastore and subsequently updating it with new information are resource-intensive operations.

Computational Cost of External Memory Models

Based on the system design described below, evaluate the feasibility of the proposed memory update strategy. Identify the most significant computational challenge this approach introduces and explain why it is particularly problematic for a real-time application.

Evaluating a Memory-Augmented System for Real-Time Interaction

A company is deploying a memory-augmented LLM. In which of the following scenarios would the computational overhead associated with managing the external memory datastore pose the most significant and continuous challenge?

A development team is building a chatbot designed to have long, continuous conversations with users, remembering details from hours or even days prior. They decide against using a model with an extremely large, fixed context window and instead opt for an architecture that incorporates an external memory system. What is the most significant new computational trade-off this team introduces by choosing the external memory approach?

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