Fine-tuning is universal in increasing the strength of helpful and harmless intentions across model families.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• SOO fine-tuning could be extended to align AI representations of its own goals with human user preferences, reducing misalignment by fostering coherence between self-related and other-related preferenceshypothesis0.825
  Future work hypothesis about extending SOO to direct value alignment
• Fine-tuningconcept0.823
  Parameter updates that reduce mismatch dr; another anchoring variant in UCCT.
• Fine-tuning induces the behavioral pattern of self-correction but does not improve the underlying ability to correct effectivelyclaim0.818
  Key interpretive conclusion from the dissociation between attempt rate and improvement rate in fine-tuning experiments
• Fine-Tuning Safetyconcept0.813
  The literature documenting how fine-tuning can compromise safety alignment even without malicious intent
• Fine-tuning as character formation: what kinds of selves are produced through training is an open research direction.claim0.811
• Fine-Tuning via Reinforcement Learningmethod0.811
  Technique used to impose guardrails on base LLMs, analogized to censorship on the simulator's range of simulacra
• Fine-tuning can be likened to imposing a kind of censorship on the simulator; it leaves the underlying range of roles essentially the same but compromises authenticityclaim0.807
  Extends the role-play framing to explain the effect of RLHF on dialogue agents
• Fine Tuning and Adaptationconcept0.804
  The patient, hand-guided adjustment of shape and dimension to each unique condition in a building; requires materials that make it economical and easy.