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.
Present — The TUI lets you browse all recovered files, search with fuzzy matching, view colored diffs between snapshots, and batch-extract to disk.
，这一点在搜狗输入法2026中也有详细论述
Instantly generates millions of human-sounding, brand-compliant copy variants
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同时 Felo 也提供了多种配色方案：