LLM推理系统问答
You are asked to deploy a competitive language model on a smartphone with 6 GB RAM. What is your approach?
原题Explain Apple MLX and why it is well-suited for LLM inference on Apple Silicon.
原题What is the k-quant system in llama.cpp? How does it differ from standard uniform quantization?
原题Compare llama.cpp CPU inference vs GPU inference. When would you prefer CPU inference?
原题What is Hardware-Aware NAS? How does OFA (Once-For-All) enable efficient edge deployment?
原题What is inference-time compute scaling? How does it differ from training-time compute scaling?
原题Explain Process Reward Models (PRMs). How do they differ from Outcome Reward Models (ORMs)?
原题What is Best-of-N sampling? When is it efficient and when is it not?
原题Describe the GRPO training objective used in DeepSeek-R1. How does it differ from PPO?
原题For a math tutoring application, would you use a larger base model or a smaller model with extended inference compute? Justify your answer.
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