AI models do not possess true memory; instead, applications simulate memory by including the entire conversation history in each prompt. This approach faces limitations as long conversations can exceed the model's context window, causing older information to be dropped. The author implemented three strategies to manage this: limiting the number of recent messages, counting tokens to stay within a budget, and employing Retrieval-Augmented Generation (RAG) to supplement context. AI
IMPACT Improves the practical usability of chatbots by enabling longer, more coherent conversations.
RANK_REASON The item describes a technical implementation for improving chatbot functionality, not a new model release or core research.
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