13 Gen AI Interview Preparation: What is MLM Maked Language Modelling

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Masked Language Modeling is one of those foundational concepts that has been asked in Facebook and Apple interviews - yet most candidates cannot explain it beyond "BERT masks some tokens." In this video, we break down MLM from the core idea all the way to the exact masking strategy used during BERT pretraining, in a structured interview Q&A format built for AI Engineer and GenAI interview preparation in 2026.

We cover what masked language modeling is and how BERT learns by predicting hidden tokens using both left and right context, why bidirectional context makes BERT fundamentally different from GPT-style autoregressive training, which NLP tasks benefit from MLM versus autoregressive models, and a high-value interview tip covering the exact 15% masking strategy - including the 80/10/10 token replacement breakdown that interviewers love to ask about. Every section gives you the exact strong answer you should deliver in your next interview.

If you are preparing for AI Engineer, ML Engineer, NLP Engineer, or GenAI roles in 2026 - or building a deep foundation in how transformer models like BERT are pretrained - this lecture is essential viewing before your interview.

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