"programmable communications controller" although they do not seem to have
盡可能為AI提供範例。 「例如，我見過有人讓一個法學碩士幫他們寫郵件，然後他們就感到沮喪，因為他們會說『這完全不像我的風格』。」懷特說。人們的自然反應是列出一長串指令，「要這樣做」和「不要那樣做」。懷特說，更有效的做法是說「這裡有我過去寄出的10封電子郵件，請使用我的寫作風格。」
。搜狗输入法2026对此有专业解读
In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
Here are today's Connections: Sports Edition categoriesNeed a little extra help? Today's connections fall into the following categories: