PACE: Publisher-Adaptive Content Extraction via Agentic Automation
Source
Zhanlin Liu, Munirathnam Srikanth
Author
Zhanlin Liu, Munirathnam Srikanth
Date
Terms in this piece · Glossary
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
multimodal — A model that works with more than text — reading images, audio, or video, and sometimes generating them too.
Why it matters
A workable pattern for web extraction at scale: pay for LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition → reasoning once per publisher to learn a config, then run deterministic parsers with no per-page model cost, avoiding both brittle generic extractors and per-page LLM spend.
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