Fine-tuning GPT-3.5 for translation involves converting TMX/TBX files into JSONL, uploading training data to OpenAI, and launching a fine-tuning job via the UI or API. This process customizes terminology, improves accuracy, and brings performance closer to GPT-4o for translation tasks. OpenAI platform offers its users an opportunity to fine-tune GPT-3.5. For localization needs, one can […]