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This article describes a method to train LoRA adapters using AsyncGRPOTrainer and sync them via Storage Buckets across separate Hugging Face Jobs, eliminating the need for NCCL communication.
This post shows how to serve Baidu's Unlimited-OCR model as a temporary, OpenAI-compatible endpoint on Hugging Face Jobs, enabling multi-page document parsing with features like table-to-HTML and equation-to-LaTeX extraction.
This live tutorial demonstrates how to fine-tune a small code agent (Gemma 4 2B) on an agent trace dataset using supervised fine-tuning (SFT), and automate hyperparameter sweeps and evaluation using HF Jobs and Track IO, embodying the concept of "using agents to train agents."