You're adapting a large language model to perform better on a task with domain-specific language and response patterns. You want the model to follow your format, terminology, and style more reliably than prompting alone.
How do you approach fine-tuning large language models?
You're adapting a large language model to perform better on a task with domain-specific language and response patterns. You want the model to follow your format, terminology, and style more reliably than prompting alone.
How do you approach fine-tuning large language models?
