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-to-end pipeline optimisation to support efficient pre-training and fine-tuning at scale; (e) explore efficient architectural designs for both dense and MoE models, including but not limited to MLA, mHC
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Secondary subjects/“Attained” in Applied Learning subjects/Grade E in Other Language subjects, and the five subjects must include English Language, Chinese Language and Mathematics. Applicants are invited
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challenge issues, using advanced machine learning models and necessary techniques; (d) evaluate and validate the performance of proposed methods and algorithms through theoretical analysis; (e) maintain
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Applied Learning subjects / Grade E in Other Language subjects, and the five subjects must include English Language, Chinese Language and Mathematics. Applicants are invited to contact Prof. Tam Hwa-yaw