Is supervised fine-tuning always required?
No. An existing assistant model may already perform the task well with clear instructions and relevant context. Fine-tuning should address a demonstrated behavior gap.
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No. Most application teams can start with an existing model and focus on prompts, retrieval, tools, and evaluation. Pre-training is a separate, resource-intensive undertaking.
Evaluation should begin before customization and continue through development and deployment. Early baselines help determine whether later training or application changes actually improve behavior.
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