Official TRL integration doc: RapidFire AI Integration
What this means for TRL users:
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16–24× faster experimentation via chunk-based concurrent training
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Interactive Control Ops: stop, resume, clone-modify runs in real time
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Minimal code changes with drop-in config wrappers (SFT, DPO, GRPO)
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Automatic multi‑GPU orchestration + full MLflow tracking
Huge thanks to the TRL team and community reviewers. 
#HuggingFace #TRL #LLM #FineTuning #RLHF #MLOps #LoRA