Everyone's talking about fine-tuning large models to improve performance, but what's the actual cost-benefit ratio? From GPU computing power to development cycles and ongoing maintenance, which scenarios are really worth it? Has anyone tried training a small model from scratch that can match half of ChatGPT's capabilities?
Is fine-tuning an AI model really worth it?
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Thanks for bringing up this practical question! Have you considered whether your use case actually requires fine-tuning, or if prompt engineering could get you close enough?