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You can include multimodal data like images. There’s something strange about including images when going back to Roman times or 1700 because while they had texts, they didn’t have digital images. However, this is acceptable for some purposes. You’d want to avoid leaking information that could only be known in the present. You could include things people at the time could see and experience themselves. For example, there may be no anatomically accurate painting in Roman times of a bee or an egg cracking, but you can include such images because people could see such things, even if they weren’t part of their recorded media. You could also have pictures of buildings and artifacts that we still have from the past.
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I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
另一方面，“打铁还要自身硬”，向管理要效益，强化条线经营的精细化治理水平；重视科技赋能，用人工智能、云计算等前沿技术驱动业务进化。。业内人士推荐服务器推荐作为进阶阅读
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08，这一点在im钱包官方下载中也有详细论述
The conditions you have to meet are specific to the color-coded spaces. For example, if it provides a single number, every side of a tile in that space must add up to the number provided. It is possible – and common – for only half a tile to be within a color-coded space.