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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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the challenge in Computational Social Science and FinTech; (b) perform data collection and processing for the identified challenge issues; (c) conduct data analysis and design a framework for the identified
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