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AI Interview MasteryIntermediate → SeniorNEW
LLMs Deep Dive
Top LLM interview questions with clear, structured answers. Covers how LLMs work, training pipelines, inference optimization, evaluation, and the most commonly asked conceptual questions for AI engineering roles.
4.9rating3,120 students1h 50m total24 lessons
What you'll learn
Explain how transformer-based LLMs are trained end-to-end
Describe tokenization, BPE, and why token boundaries matter
Walk through inference optimization: quantization, KV cache, batching
Explain RLHF, constitutional AI, and model alignment
Describe evaluation metrics: perplexity, BLEU, ROUGE, and LLM-as-judge
Answer any LLM architecture question asked in senior AI interviews
Final Project
Answer 10 consecutive LLM interview questions timed — covering architecture, training, inference, and evaluation
Curriculum
24 lessons · 1h 50mCourse Info
Lessons24 lessons
Total time1h 50m
LevelIntermediate → Senior
Students3,120
Rating4.9 / 5.0