This article details the process of fine-tuning a vision-language OCR model to support the Persian language. It highlights the importance of dataset engineering and full fine-tuning techniques, along with practical GPU optimizations, in achieving this goal. The author also discusses why LoRA (Low-Rank Adaptation) was not the chosen method for this specific task. AI
IMPACT This work demonstrates techniques for adapting AI models to underrepresented languages, potentially improving accessibility and utility.
RANK_REASON The item describes a technical process for fine-tuning an AI model for a specific language, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]
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