Fine Tuning and Adaptation

The patient, hand-guided adjustment of shape and dimension to each unique condition in a building; requires materials that make it economical and easy.

Neighborhood — ranked by edge-count

Concepts (4)

concept

Fine-tuning
related_to
Parameter updates that reduce mismatch dr; another anchoring variant in UCCT.
Fine-Tuning Safety
related_to
The literature documenting how fine-tuning can compromise safety alignment even without malicious intent
Instruction Fine-Tuning
related_to
Training procedure that consistently increases HH-intent strength and consistency across model families.
Adaptability
associated_with
The capacity of materials and techniques to allow fine-tuning of dimensions and shape to each unique building condition; identified as the biggest issue in achieving living architecture.

pattern (1)

pattern

Two Functionally Necessary Attributes of Construction Process
uses
Materials and techniques must satisfy both rapid shapability with human thought and adaptability for fine-tuning of dimensions at low cost.

Related by similarity (8)

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.

Reinforcement Fine-tuningmethod0.861
OpenAI's internal RL fine-tuning API used to train models with graders rewarding correct or incorrect responses
Fine-Tuning via Reinforcement Learningmethod0.845
Technique used to impose guardrails on base LLMs, analogized to censorship on the simulator's range of simulacra
Supervised Fine-Tuningconcept0.824
First post-training stage; shown to suppress only Impolite persona while boosting others
Roleplay Fine-Tuningconcept0.822
Fine-tuning for persona depth and emotional performance; actively suppresses self-observation
fine-tuning (SFT)method0.811
Supervised fine-tuning to adapt model parameters.
LoRA Fine-Tuningmethod0.811
Adaptation method used via Tinker API for DeepSeek-V3.1 and Qwen3-235B fine-tuning with rank 32
Fine-tuning an emergently misaligned model on 120 secure code samples (35 steps, batch size 4) fully restores alignmentfinding0.810
Demonstrates emergent re-alignment is achievable with minimal data from same domain
Fine-Tuning Threshold Recalibrationmethod0.810
Re-running probabilistic bisection on each fine-tuned checkpoint to normalize first-attempt difficulty