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license: cc-by-nc-sa-4.0
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license: cc-by-nc-sa-4.0
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#### Experiment Objectives
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1. Is Training with Korean + Multi-lingual dataset helpful to perform Korean benchmarks?
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2. Does Full Parameter Depth-Up Scaled Training (expansion method: Llama-Pro) help to perform the best Korean benchmark performance?
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#### Methods
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1. Training CJK + En + Glot dataset with the same ratio of data size.
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2. Layer Expansion and full parameter training.
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