Applied Compute shares a production RL recipe for continual learning from live traffic
ypatil125 · x · 2026-11-07
Applied Compute notes that production traffic is full of real experience from economically valuable work, yet very little flows back into training. The team built a production RL recipe that steadily improves a model directly from its deployment's data stream, then redeploys it to keep learning — enabling continual learning in production. They shared initial learnings from the approach.
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