Dataset prep, Bedrock setup, training configuration, evaluation, deployment, with real cost estimates for startups without ML teams. Let me tell you when fine-tuning is actually the right answer. Most of the time it isn't.
A well-crafted system prompt with good examples handles 80% of domain adaptation problems faster, cheaper and with less operational overhead than fine-tuning. I'll come back to