AIInterviewTraining logoAIInterview/Training
← SQL & Data Engineering / 58
hardNVIDIAAnthropicOpenAI

Turn a raw web crawl into a clean trillion-token LLM training corpus. Design the pipeline.

Anyone can say 'filter and dedup.' The signal is the funnel arranged by cost, the MinHash/LSH banding math, and recognizing that the shuffle across billions of documents is what actually runs up the bill, plus the benchmark decontamination people forget until their eval numbers get challenged.

Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.

Anyone can say 'filter and dedup.' The signal is the funnel arranged by cost, the MinHash/LSH banding math, and recognizing that the shuffle across billions of documents is what actually runs up the bill, plus the benchmark decontamination people forget until their eval numbers get challenged.

Unlock the other 847 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Popular right nowWhy do transformers scale attention scores by 1/√d_k, and what breaks if you skip it?Popular right nowWalk through RLHF, then explain DPO and why it has largely displaced PPO-based RLHF.Popular right nowWhy do transformers need positional encoding, and how do sinusoidal, RoPE, and ALiBi differ?
DISCUSSION · 0

No comments yet — be the first to share your approach.