Weight Averaging Insights
Nathan Lambert delves into the concept of weight averaging, highlighting how techniques like SWA can lead to more robust neural network solutions. Andrew Gordon Wilson's insights shed light on the benefits of averaging weights in low loss regions, ultimately aiding in better generalization and model refinement.In this clip
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Model merging lessons in The Waifu Research Department
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