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.
刘年丰透露，现在看似很多具身智能公司进了场景，但真能把活干好的不多。“比如工厂里搬运料箱，光线一变、料箱外观、尺寸有所不同，机器人就认不出来，导致任务失败，”他说。
。业内人士推荐旺商聊官方下载作为进阶阅读
About arXivLabs
Турист отправился в отпуск и пропал без вести, оставив странное видео.Загадку его исчезновения не могут раскрыть вот уже 10 лет2 февраля 2025