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I can explain Fine-tuning
Extra training on your examples so a model learns your style or task.
Fine-tuning continues training a pretrained model on a specialised dataset so it adapts to a domain, format, or behaviour.
Sticky trick
Fine-tune when prompts aren't enough and you have clean labeled examples.
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In plain English, what is Fine-tuning?
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