IX2-0046

① SA Source

Context Before

In this section, we will give a brief primer on technical concepts that may help the reader better interpret results. Some readers may not need this and can skip directly to our analysis of results. We will take a deeper dive into some of these topics after the results analysis.

Interactivity vs Throughput Tradeoff

Evidence

The fundamental tradeoff with LLM inference is throughput versus latency

Context After

image

Source: SemiAnalysis

② Atomic Claim

LLM 推論最基本的 trade-off 是吞吐量與延遲之間的取捨。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "LATENCY",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/Large language model",
    "label": "LLM"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [],
    "value_text": "LLM 推論最基本的 trade-off 是吞吐量與延遲之間的取捨。"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entityLLM04_knowledge_base/Large language model

⑤ Human Review

請在 Properties 逐項確認:

  • 原文 → Atomic Claim 是否忠實
  • Atomic Claim → Semantic Frame 是否忠實
  • Canonical Entity mapping 是否正確
  • Epistemic mode 是否保留原文語氣
  • 最後選擇 review_action

Review state

Markdown 內文不是正式 approval。只有 Apply bridge 寫入的 Decision Ledger event 才是正式決策。