Fine-Tuning via Reinforcement Learning

Technique used to impose guardrails on base LLMs, analogized to censorship on the simulator's range of simulacra

Neighborhood — ranked by edge-count

concept

Guardrails
associated_with
Constraints imposed via fine-tuning to reduce harmful output; can reduce harm but also attenuate expressivity and creativity

method

Reinforcement Fine-tuning
related_to
OpenAI's internal RL fine-tuning API used to train models with graders rewarding correct or incorrect responses

cosine ≥ 0.65 · no typed edge

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

Fine Tuning and Adaptationconcept0.845
The patient, hand-guided adjustment of shape and dimension to each unique condition in a building; requires materials that make it economical and easy.
Fine-tuningconcept0.843
Parameter updates that reduce mismatch dr; another anchoring variant in UCCT.
Reinforcement Learningframework0.828
Alternative framework for agent behavior; based on reward maximization rather than free energy minimization.
Supervised Fine-Tuningconcept0.824
First post-training stage; shown to suppress only Impolite persona while boosting others
Roleplay Fine-Tuningconcept0.821
Fine-tuning for persona depth and emotional performance; actively suppresses self-observation
Fine-Tuning Safetyconcept0.820
The literature documenting how fine-tuning can compromise safety alignment even without malicious intent
Instruction Fine-Tuningconcept0.816
Training procedure that consistently increases HH-intent strength and consistency across model families.
Fine-tuning induces the behavioral pattern of self-correction but does not improve the underlying ability to correct effectivelyclaim0.816
Key interpretive conclusion from the dissociation between attempt rate and improvement rate in fine-tuning experiments