Large Language Models (LLMs) are inherently stateless, meaning they lack memory of past interactions. To overcome this limitation, the current approach involves sending the entire conversation history with each new prompt. This method, however, can become inefficient and costly as conversations grow longer. AI
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
IMPACT Addresses the challenge of LLM memory, which impacts user experience and computational efficiency in conversational AI.
RANK_REASON The article discusses a fundamental limitation of LLMs without announcing a new model or product.
