Unverified50% confidenceFactExact time
Large language models do not require persistent storage of user data and can complete real-time inference solely based on natural language input from a single conversation.
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Long-term
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10/7/2026
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UnverifiedEach inference of a large language model relies on the complete context window, and conversation branching means different sub-threads each maintain independent message histories without polluting one another.75% similarUnverifiedThe inference process of large language models is often constrained by memory bandwidth rather than pure floating-point compute.73% similarUnverifiedThe advantage of files over chat context is that they cannot be reinterpreted due to model sampling randomness—the content read is completely consistent every time, making it deterministic.72% similarUnverified实际开发中通常在存储长期记忆前让大模型对对话做总结摘要，提炼核心信息后再持久化，以节省空间并提高检索精确度71% similarUnverified大语言模型使非结构化的自然语言可以直接作为执行输入，无需遵循 BDD 工具的特定语法70% similar
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