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Deep Learning & Generative AI

Generative AI & Large Language Models (LLMs) Interview Questions

Interview questions on Generative AI & Large Language Models (LLMs) Interview Questions.

4 questions

All subtopics LLM Architectures & Foundations Tokenization & Embeddings Attention, KV Cache & Efficient Inference LLM Training & Pre-training Decoding Strategies & Prompt Engineering Fine-Tuning & Model Adaptation RAG & Vector Databases Alignment & Preference Optimization LLM Evaluation & Benchmarking Agents, Tool Use & Memory Multimodal Generative AI LLM Safety & Security LLMOps & Production

Alignment & Preference Optimization

Q1. What is preference tuning, and why is it important?

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Alignment & Preference Optimization

Q2. What is a reward model, and how does it automate preference evaluation in LLM alignment?

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Alignment & Preference Optimization

Q3. What is Proximal Policy Optimization (PPO) in preference tuning, and how does it work?

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Alignment & Preference Optimization

Q4. What is Direct Preference Optimization (DPO), and how does it function?

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