Full Fine Tuning
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-05-02.)
Full Fine Tuning has 7 facts recorded in Dontopedia across 2 references.
Mostly:adapts all params(1), avoids rank bottleneck(1), enables layer specialization(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedAdapts All ParamsadaptsAllParams
Avoids Rank BottleneckavoidsRankBottleneck
Enables Layer SpecializationenablesLayerSpecialization
- memorize specific facts[1]all time · Part 173
Provides Stronger Gradient SignalprovidesStrongerGradientSignal
- directly into attention and FFN weights[1]all time · Part 173
Risks Catastrophic ForgettingrisksCatastrophicForgetting
- instruct capabilities[1]all time · Part 173
Enables Complete AdaptationenablesCompleteAdaptation
- true[2]all time · Part 18
Parameter CountparameterCount
- 11700000[2]all time · Part 18
Inbound mentions (6)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
achievesComparablePerformanceToAchieves Comparable Performance to(1)
- Lora Low Rank Adaptation
ex:lora-low-rank-adaptation
avoidsForgettingRiskAvoids Forgetting Risk(1)
- Lora R 64
ex:lora-r-64
getsMostBenefitOfGets Most Benefit of(1)
- Lora R 64
ex:lora-r-64
hasTrainingMethodHas Training Method(1)
- Repository
ex:repository
listsAdvantagesLists Advantages(1)
- Xenonfun Message 22 15
ex:xenonfun-message-22-15
objectiveObjective(1)
- Training Task
ex:training-task
Timeline
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References (2)
See also
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