Unverified50% confidenceFactExact time
BaseCamp confines large language model reasoning to the judgment layer while preserving the reproducibility guaranteed by the existing toolchain.
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Long-term
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9/25/2026
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UnverifiedBaseCamp's agent reasoning is driven by a model ensemble comprising multiple fine-tuned domain-specific large language models coordinated by a central reasoning LLM.76% similarUnverifiedWhen constraining output format through prompts, the model may forget these constraints in long conversations or complex reasoning scenarios.69% similarUnverified模型的平台风格适配依赖世界知识泛化而非硬编码规则，因此存在推断偏差的可能，仍需人工复核69% similarUnverifiedLarge language models rely solely on parameter weights fixed during training for autoregressive generation at inference time, and have two inherent limitations: a knowledge cutoff and capability boundaries69% similarUnverified大语言模型的知识是通用性的，不了解具体项目上下文，面对已有系统时缺乏项目特定上下文会导致输出退化为有根据的猜测69% similar
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