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When a startup producing new video content fine-tunes an existing large language model on a large proprietary dataset, which factor most affects the cost?
①The human costs and time required for large-scale data collection and high-quality labeling
②The high cost of commercial licensing fees.
③That only the server uptime during inference is the primary cause.
④Outsourcing costs for user interface development
⑤Copyright management fees for existing models
