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Teams building agentic systems can now iterate between SFT and RL on managed CoreWeave infrastructure without manually shuttling model artifacts, cutting the operational overhead that typically delays getting fine-tuned agents into production.
Teams iterating between SFT and RL can now run the full post-training loop — fine-tuning, evaluation, inference, and RL — inside a single W&B platform, cutting the infrastructure overhead that typically delays getting agents to production.