Applied Compute(@appliedcompute):Production traces contain rich feedback that rarely makes it back into training pipelines. Self-distillation methods allow us to close the continual learning loop and learn from every interaction. We’ve added native support for OPSD and RMSD to our platform, AC2. Here’s a preview:

Applied Compute

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参加 July 2012

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Applied Compute@appliedcompute

2026.08.04 00:01

Production traces contain rich feedback that rarely makes it back into training pipelines. Self-distillation methods allow us to close the continual learning loop and learn from every interaction. We’ve added native support for OPSD and RMSD to our platform, AC2. Here’s a preview: