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The new baseline
LLM knowledge is now table stakes for ML interviews. You'll be asked about tokenization, inference optimization, hallucination, and training methods like RLHF.
I'll cover the full LLM stack: how models are architected, how they're trained, how they're deployed, and why they fail. You'll understand the tradeoffs that shape every LLM product.
