Wikipedia link race: choosing among thousands of options
The model chooses the next step from hundreds or thousands of links, demonstrating fast decisions with constrained outputs. The post includes a 4:04 video.
Optimizing Evidence Sources with Jev: Extracting Citations and Calling jev-1.13.0
Sharing how to continue optimizing evidence sources with Jev after receiving Kooko's full deliverable: extract key citations from the report into four elements—conclusion, source title and date, URL, and quoted excerpt—then call jev-1.13.0 separately.
拿到 Kooko 交付的完整文件后，怎样继续用 Jev 进行证据源优化？ 我的做法是先从报告中抽取关键引用，每条规整为四项要素：报告结论、来源标题与日期、来源 URL、以及从来源网页中摘出的对应原文摘句。随后单独调用 jev-1.13.0
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