Explain overfitting, regularization, and LLM techniques

Quick Overview

This question evaluates understanding of model generalization (overfitting vs underfitting), regularization methods (L1 vs L2), modern LLM techniques (LoRA, RAG, agents), and end-to-end computer vision project skills including dataset construction, evaluation, failure modes, and deployment, testing competencies across ML theory and engineering.

Explain overfitting, regularization, and LLM techniques

Company: Amazon

Role: Software Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates understanding of model generalization (overfitting vs underfitting), regularization methods (L1 vs L2), modern LLM techniques (LoRA, RAG, agents), and end-to-end computer vision project skills including dataset construction, evaluation, failure modes, and deployment, testing competencies across ML theory and engineering.

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Feb 12, 2026
mediumSoftware EngineerTechnical ScreenMachine Learning
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