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answer-me-with-html

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  1. Markdown Drafts with Local Rendering: A Conditional Token-Saving Workflow

    A Juejin experiment compares an LLM generating complete HTML with a workflow in which the model produces a Markdown draft and a local engine handles charts, themes, and layout. The author cites an upstream Claude Sonnet 5.5 benchmark averaging 4,893 output tokens for direct HTML versus 612 tokens for Markdown drafting. In the author’s separate three-question test using Seed 2.1 lite, savings depended on first-pass rendering success: two questions used fewer tokens and cost through the pipeline, while one required repair rounds and used more output tokens and cost than direct HTML. The pipeline also produced four to five automatically laid-out charts per page, compared with no SVG charts in the three direct-HTML outputs. Its writing checker could not prevent fabricated facts or data.

    掘金 · 人工智能 · 🔥 0

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