LORA Adaptation Insights
Using weight decay with LORA can help maintain the performance of the base model while allowing for targeted adjustments. By fine-tuning smaller matrices instead of the entire weight matrix, the process becomes more efficient and manageable, leading to effective adaptation without sacrificing the integrity of the original model. This approach offers a safety net, ensuring that performance doesn't drop below the baseline established by pre-training.In this clip
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Machine Learning Street Talk (MLST)
Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners
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