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A complete training and alignment pipeline (Pretrain, SFT, and RLHF/DPO) for fine-tuning small language models specifically for medical dialogue and robotics applications.
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The project is extremely early (21 days old) with zero stars or forks, indicating a personal experiment or a course project. It follows standard industry recipes for LLM alignment (SFT + DPO) applied to a specific domain (medical). While the focus on medical robotics is a valid niche, the pipeline itself uses commodity libraries and provides no proprietary data or architectural innovation that would prevent a frontier lab or a more established open-source project from subsuming its utility.
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