{"id":18176,"date":"2026-07-02T19:33:48","date_gmt":"2026-07-02T19:33:48","guid":{"rendered":"https:\/\/megagon.ai\/?post_type=faq&#038;p=18176"},"modified":"2026-07-02T19:33:57","modified_gmt":"2026-07-02T19:33:57","slug":"interpretability-llm-extraction-systems","status":"publish","type":"faq","link":"https:\/\/megagon.ai\/jp\/faq\/interpretability-llm-extraction-systems\/","title":{"rendered":"Why does interpretability matter in LLM extraction systems?"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Adaptive extraction systems usually improve through opaque model updates, which are hard to audit. DySECT instead accumulates knowledge in an explicit knowledge base that humans can inspect and edit, so extraction improves over time while oversight stays in the loop.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Adaptive extraction systems usually improve through opaque model updates, which are hard to audit. DySECT instead accumulates knowledge in an explicit knowledge base that humans can inspect and edit, so extraction improves over time while oversight stays in the loop.<\/p>\n","protected":false},"author":1,"template":"","meta":{"footnotes":""},"question-topic":[],"class_list":["post-18176","faq","type-faq","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Why does interpretability matter in LLM extraction systems? - Megagon<\/title>\n<meta name=\"description\" content=\"Interpretability in LLM extraction means knowledge you can inspect and edit. 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