Expensive translation model proved most confidently wrong, glossary fixes all

A developer discovered that a high-priced, flagship translation model produced more fluent but dangerously incorrect translations for specialized domain terminology compared to a cheaper model. When a glossary of domain-specific terms was introduced, all tested models achieved perfect accuracy, highlighting that the core engineering challenge lay in glossary creation rather than model selection. The developer also noted that glossaries are directional and require careful handling of pinyin and diacritics to avoid collisions with common English words. AI

IMPACT Highlights the critical role of domain-specific glossaries in achieving accurate LLM translations, even with advanced models.

RANK_REASON Developer's personal experience and findings about translation models and glossary creation.

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