Explain LLM fine-tuning and generative models
Company: Google
Role: Software Engineer
Category: Machine Learning
Difficulty: medium
Interview Round: Technical Screen
Quick Answer: This question evaluates understanding of LLM adaptation techniques and trade-offs (fine-tuning and parameter-efficient methods) alongside knowledge of generative model families (AE, VAE, VQ‑VAE), covering objectives, training behavior, typical failure modes, and considerations like limited data, latency/cost, domain adaptation, and safety.