Part 11/13:
- Security protocols: Maintaining high standards during the fine-tuning process prevents harmful content generation or privacy breaches.
For example, the speaker recounts unambiguously testing models against sensitive questions—like sexual or racial content—and verifying that safety layers remain effective post-fine-tuning.
Final Recommendations: When to Fine-Tune
The session culminates in a clear set of criteria:
Well-defined, specific use case
Proven success with other methods like prompt engineering and retrieval
High-quality, domain-specific data
Clear metrics and benchmarks
Willingness to invest upfront for significant performance gains