Instruction: Propose a strategy for efficiently scaling LLMs, detailing the approach and anticipated challenges.
Context: This question assesses the candidate’s ability to innovate in the area of LLM scalability, considering both efficiency and computational constraints.
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I would scale along multiple dimensions, not just raw parameter count. That means better data quality, improved training efficiency, mixture-of-experts or sparse activation where appropriate, distillation, parameter-efficient adaptation, and stronger inference-time routing so expensive compute is used only when it...