Uploaded March 2026 | Updated September 2026, 2 weeks ago
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
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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.
Watch the full Gen AI Interview 2026 Preparation Guide playlist here:
youtube.com/playlist?list=PLc2rvfiptPSQdF1F23_6OAemHVhy-CAun
📚 Learn More with My Udemy Courses
🧠 Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
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.
Watch the full Gen AI Interview 2026 Preparation Guide playlist here:
youtube.com/playlist?list=PLc2rvfiptPSQdF1F23_6OAemHVhy-CAun
📚 Learn More with My Udemy Courses
🧠 Master OpenAI Agent Builder - Deploy Chatbot to Your Website
udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
