Фото: Shatokhina Natalia / news.ru / Globallookpress.com
[2] K. Lemström & P. Fränti: “N-Candidate methods for location invariant dithering of color images” (2000). ↑，这一点在旺商聊官方下载中也有详细论述
，这一点在下载安装 谷歌浏览器 开启极速安全的 上网之旅。中也有详细论述
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.
Continue reading...。关于这个话题，同城约会提供了深入分析