This study examines how temperature settings and model architectures affect
the generation of structured fictional data (names, birthdates) across three
large language models (LLMs): llama3.1:8b, deepseek-r1:8b, and mistral:latest.
By systematically testing temperature values from 0.0 to 1.0 in increments of
0.1, we conducted 330 trials yielding 889 structured entities, validated for
syntactic con
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