Lora Low Rank Adaptation

Achieves Comparable Performance toachievesComparablePerformanceTo

• Full Fine Tuning^[1]all time · Part 4

Adds Low Rank MatricesaddsLowRankMatrices

• Existing Weights^[1]all time · Part 4

Can AchievecanAchieve

• Comparable to Full Fine Tuning^[1]all time · Part 4

Enables Fine Tuning onenablesFineTuningOn

• Resource Constrained Hardware^[1]all time · Part 4

Freezes WeightsfreezesWeights

• Original^[1]all time · Part 4

Has BenefithasBenefit

• Reduces Computational Cost^[1]all time · Part 4

Is Defined AsisDefinedAs

• A PEFT (Parameter-Efficient Fine-Tuning) technique that modifies only a small subset of a model's parameters, typically by adding low-rank matrices to the existing weights.^[1]all time · Part 4

Is Instance ofisInstanceOf

• Peft^[1]all time · Part 4

Modifies Small SubsetmodifiesSmallSubset

• Model Parameters^[1]all time · Part 4

Reduces Number ofreducesNumberOf

• Trainable Parameters^[1]all time · Part 4

Reduces Trainable ParametersreducesTrainableParameters

• Significantly^[1]all time · Part 4

Trains OnlytrainsOnly

• Low Rank Matrices^[1]all time · Part 4

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References (1)

See also

• Full Fine Tuning
• Existing Weights
• Comparable to Full Fine Tuning
• Resource Constrained Hardware
• Original
• Reduces Computational Cost
• Peft
• Model Parameters
• Trainable Parameters
• Significantly
• Low Rank Matrices
• Original Model Weights

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