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concept:finetuning-shiftFinetuning Shift
The projection of the activation change induced by finetuning onto a persona vector direction, used to quantify how much a model shifts along a trait
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- Parameter updates that reduce mismatch dr; another anchoring variant in UCCT.
- The patient, hand-guided adjustment of shape and dimension to each unique condition in a building; requires materials that make it economical and easy.
- Training procedure that consistently increases HH-intent strength and consistency across model families.
- OpenAI's internal RL fine-tuning API used to train models with graders rewarding correct or incorrect responses
- The literature documenting how fine-tuning can compromise safety alignment even without malicious intent
- Supervised fine-tuning to adapt model parameters.
- Re-running probabilistic bisection on each fine-tuned checkpoint to normalize first-attempt difficulty
- Low-rank adaptation method used for finetuning models in all experiments; rank 32, alpha 64