机器学习原理
What is LoRA / QLoRA and when would you use PEFT over full fine-tuning?
原题Explain quantization (INT8/INT4, FP8) and KV-cache quantization. What's the accuracy/latency tradeoff?
原题How does speculative decoding speed up generation?
原题How do you evaluate an LLM / RAG system? What is the RAG triad and LLM-as-judge?
原题How does a VLM combine a vision encoder with an LLM? (e.g., LLaVA / PaliGemma)
原题What is a VLA model? Contrast discrete action tokens (RT-2, OpenVLA) vs flow-matching action heads (π0).
原题Diffusion vs autoregressive generation — how do they differ and when is each used (image/video/audio/text)?
原题What is classifier-free guidance?
What is flow matching / rectified flow?
原题完整原题
What is classifier-free guidance? What is flow matching / rectified flow?
What is a Mixture-of-Experts model? Distinguish active vs total parameters.
原题how do you choose among these? (imbalanced datasets)
原题“these”承接上级提纲中的 Accuracy、Precision、Recall/Sensitivity、Specificity 和 F-score；场景限定为类别不平衡的数据集。
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