Tag: interviews
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MLE 算法手写实战：零基础 Pure Numpy 手写 LR、K-Means、Self-Attention 与 NMS
> **核心摘要**：全量拆解 MLE 面试高频机器学习算法手写 (Whiteboard / Live Coding) 实战。深入剖析零依赖 Pure Numpy 实现逻辑回归 (Logistic Regression)、K-Means 迭代聚类、Softmax 数值防溢出技巧与 Self-Attention / NM
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RS 论文拆解与研究 Vision：如何向面试官复述 SOTA 论文创新点
> **核心摘要**：在算法研究科学家（Research Scientist, RS）面试中，面试官最看重的是候选人的**独立科研品味（Research Taste）、前沿技术视野（Research Vision）以及对 SOTA 论文的批判性深度解构能力**。面试绝不是简单复述论文摘要，而是展现“从第一性原理审视问题
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AIE Core Cheatsheet: SFT, LoRA, RAG & Agent Interview Map
> **Executive Summary**: The AI / LLM Systems Engineer (AIE) role spans model fine-tuning, retrieval engineering, agentic orchestration, and high-throughput ser
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MLE Core Cheatsheet: High-Frequency Q&A, Competitions & Pinterest
> **Core Executive Summary**: The MLE interview core is a closed loop of recurring topics — **regularization & bias-variance, overfitting diagnosis, feature eng