KBLaM通过分离知识存储层与模型参数层的设计，支持不重新训练基础模型的情况下动态更新知识库。技术实现上，用户只需修改JSON格式的知识文件并重新生成向量嵌入，通过integrate.py脚本即可完成模型的知识刷新。例如在某测试案例中，将新冠肺炎诊疗指南从第7版更新至第9版仅需8分钟（使用A100 GPU）。这种特性特别适合医疗、法律等需要频繁更新专业知识的领域，避免了传统微调方案每次更新需耗费数百GPU时的成本。
This answer comes from the articleKBLaM: An Open Source Enhanced Tool for Embedding External Knowledge in Large ModelsThe
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