Part 9/13:
- Establishing performance metrics aligned with business needs (accuracy, precision, recall, F1 score, etc.)
Importantly, the speaker emphasizes the significance of setting proper approval metrics and risk assessments, recognizing that models may generate incorrect or unsafe content without careful oversight.
Challenges and Cautionary Tales
Several pitfalls are highlighted:
Unclear problem scope: Often, stakeholders ask for fine-tuning without precise objectives.
Data issues: Unlabeled, polluted, or inconsistently labeled data can lead to severe degradation.