Proposes a combined data-selection, training-strategy, and architecture-adjustment approach to improve LLM capability under resource constraints.
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Efficient Strategy for Improving Large Language Model (LLM) Capabilities
Proposes a combined data-selection, training-strategy, and architecture-adjustment approach to improve LLM capability under resource constraints.