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Next, I used an LLM to generate chapter summaries of these texts, then fed the summaries back into various LLMs to regenerate full articles. This gave me a similar-sized, diverse dataset of LLM-generated texts closely aligned in topic and style with the human-written ones.

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Courses were developed by professional linguists, and it shows in the pacing. Each concept builds logically, then repeats through guided conversation and review sessions, so phrases stick long enough to use them on a real street, not just a quiz.

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