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Owain Evans’ idea of feeding a historical LLM non-anachronistic images is, I think, well worth doing. But it’s also worth expanding on further. Would it be helpful, when training a historical LLM, to simulate dream imagery based on premodern themes? What about audio of birdcalls, which were far more prominent in the audioscapes of premodern people? What about taking it on a walk through the woods?
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The fourth tactic requires creating comparison tables and structured data that AI models can easily parse and reference. Language models excel at processing structured information organized in clear, consistent formats. When they encounter well-formatted comparison tables, step-by-step lists, or data organized in predictable structures, they can extract and cite that information more reliably than when similar content appears in dense paragraphs.
3014248110http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142481.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142481.html11921 为人民出政绩 以实干出政绩