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The tutorial provides a concrete, reproducible starting point for the agentic post-training workflow — SFT from agent traces — before the more complex GRPO and environment RL stages that follow in the series.
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.