{ "meta": { "build_date": "2026-01-01T00:00:00Z", "wiki_title": "测试知识库", "total_nodes": 8, "total_edges": 13, "initial_view": [ "Attention", "Transformer", "GPT", "arch", "Decoder", "Encoder", "finetune", "paper" ], "degraded": false, "insights_degraded": false }, "nodes": [ { "id": "Attention", "label": "Attention", "type": "entity", "community": "Attention", "content": "# Attention\n\n注意力机制是 Transformer 的核心。参见 [[Transformer]]。" }, { "id": "Decoder", "label": "Decoder", "type": "entity", "community": "arch", "content": "# Decoder\n\n解码器组件。与 [[Transformer]] 的解码端对应。" }, { "id": "Encoder", "label": "Encoder", "type": "entity", "community": "arch", "content": "# Encoder\n\n编码器组件。属于 [[Transformer]] 架构的一部分。" }, { "id": "GPT", "label": "GPT", "type": "entity", "community": "finetune", "content": "# GPT\n\nGPT 系列基于 [[Transformer]] 的解码器架构。" }, { "id": "Transformer", "label": "Transformer", "type": "entity", "community": "arch", "content": "# Transformer\n\nTransformer 是一种基于自注意力机制的序列到序列模型架构。\n\n## 核心组件\n\n- [[Attention]] — 自注意力机制\n- [[Encoder]] — 编码器\n- [[Decoder]] — 解码器" }, { "id": "arch", "label": "深度学习架构", "type": "topic", "community": "arch", "content": "# 深度学习架构\n\n本主题涵盖深度学习的核心架构组件。\n\n- [[Transformer]]\n- [[Attention]]\n- [[Encoder]]\n- [[Decoder]]" }, { "id": "finetune", "label": "微调技术", "type": "topic", "community": "finetune", "content": "# 微调技术\n\n本主题涵盖模型微调相关技术。\n\n- [[GPT]]" }, { "id": "paper", "label": "Attention Is All You Need", "type": "source", "community": "Attention", "content": "# Attention Is All You Need\n\n原始论文提出了自注意力机制。\n\n- [[Attention]] " } ], "edges": [ { "id": "e1", "from": "Attention", "to": "Transformer", "type": "EXTRACTED", "confidence": "EXTRACTED", "relation_type": "依赖", "weight": 0.733, "source_signal_available": true, "signals": { "co_citation": 0.2, "source_overlap": 1, "type_affinity": 1 } }, { "id": "e2", "from": "Decoder", "to": "Transformer", "type": "INFERRED", "confidence": "INFERRED", "relation_type": "依赖", 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