4 LLM Interview Questions You Must Know | Temperature, Context & Memory

Master your next LLM interview. 🚀

Are you preparing for an AI or Machine Learning engineering interview? In this video, we break down 4 essential Large Language Model (LLM) interview questions you’re likely to face at top tech companies. We move beyond the basics to provide clear, visual explanations that help you demonstrate true technical depth.

What you’ll learn in this session:
00:00 - Intro
00:26 - How do LLMs actually work?
04:38 - Temperature vs. Top-P Sampling: When to use which?
09:04 - Context Windows: Strategies for handling long documents
14:28 - Advanced Memory & Context Management in LLMs

Whether you're a student or a seasoned engineer, this breakdown will help you answer complex technical questions with confidence and clarity.

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📚 References:
[1] Vaswani et al. "Attention Is All You Need" — arxiv.org/abs/1706.03762
[2] Brown et al. "GPT-3" — arxiv.org/abs/2005.14165
[3] Holtzman et al. "Nucleus Sampling" — arxiv.org/abs/1904.09751
[4] Liu et al. "Lost in the Middle" — arxiv.org/abs/2307.03172
[5] Packer et al. "MemGPT" — arxiv.org/abs/2310.08560

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Видео 4 LLM Interview Questions You Must Know | Temperature, Context & Memory канала AI Interview Lab