Your question is Fine-Tune a Large Language Model. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
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?