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HTML preprocessing shrinks web pages for LLMs

A developer has found that stripping HTML tags like styles, scripts, and SVGs can significantly reduce page size, shrinking it by 3 to 5 times. This preprocessing step helps reclaim context window space for language models, suggesting that efficient data preparation can be more effective than simply using larger models. AI

IMPACT Efficient data preprocessing can improve LLM performance by maximizing context window usage.

RANK_REASON Developer's observation on data preprocessing for LLMs, not a primary release or significant industry event.

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HTML preprocessing shrinks web pages for LLMs

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Before HTML hits the model, we strip styles, scripts, noscript, and svg tags. That alone shrinks pages 3 to 5x and buys back a lot of context window. Small, bor

    Before HTML hits the model, we strip styles, scripts, noscript, and svg tags. That alone shrinks pages 3 to 5x and buys back a lot of context window. Small, boring preprocessing beats a bigger model. https:// go.upgradejs.com/gkz # WebScraping # LLM # AI