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LITTLELEARNER reveals that even a well-defined knowledge scope can yield a competent language model, but it won't expand its capabilities beyond its educational boundaries.
Conventional RoPE's non-repeating rotations may hinder its ability to access distant context, unlike periodic RoPE, which excels at recognizing modular languages.
