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TOPIC · ENTITY #1948

multi-teacher distillation

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MODELS · 1 SOURCE · InfoQ AI, ML & Data Engineering

LinkedIn trains AI job-search ranking 8× faster using multi-teacher distillation

LinkedIn published technical details of the training infrastructure for its AI-powered job search, describing a multi-teacher distillation pipeline that compresses knowledge from large teacher models into a compact 0.6‑billion-parameter ranking model. The company reports this approach yields up to an 8× speedup in training for the production ranking model. (Article by Claudio Masolo)

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