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Explain overfitting, regularization, and LLM techniques

Last updated: Mar 29, 2026

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.

  • medium
  • Amazon
  • Machine Learning
  • Software Engineer

Explain overfitting, regularization, and LLM techniques

Company: Amazon

Role: Software Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Technical Screen

Quick Answer: 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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|Home/Machine Learning/Amazon

Explain overfitting, regularization, and LLM techniques

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Amazon
Feb 12, 2026, 12:00 AM
mediumSoftware EngineerTechnical ScreenMachine Learning
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