Atlas · GenAI 2026
Fine-Tuning Evaluation
Post-fine-tuning quality assessment
conceptPeak: 2024Fine-TuningAI consensus: 1/3
Prerequisites
- hardLLM Fine-Tuning
You can only assess post-fine-tuning quality if you've done fine-tuning and understand what might go wrong
Assessing quality after fine-tuning requires evaluation frameworks to measure regressions systematically
Recommended reference
Raschka, S. (2024) 'Evaluating LLMs After Fine-Tuning' — sebastianraschka.com blog; practical methodology for regression detection
Notes from AI deep research
Anthropic Opus
Poprawa posluszenstwa moze pogorszyc faktualnosc. Systematic eval: baseline comparison, regression detection
OpenAI Deep Research
Poprawa 'posłuszeństwa' → regresje [OA#18]
Related skills
- → is part of: LLM Fine-Tuning(3/3)
- → is part of: Model Fine-Tuning(3/3)