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In this episode of Decode: Science, we explore the 2018 paper that introduced BERT, a model that transformed how machines understand human language.
By learning from both left and right context simultaneously, BERT became the foundation for a new generation of smarter, context-aware AI systems — from Google Search to intelligent assistants. We’ll break down how it works, why it matters, and what made it so effective.
By Plain ScienceIn this episode of Decode: Science, we explore the 2018 paper that introduced BERT, a model that transformed how machines understand human language.
By learning from both left and right context simultaneously, BERT became the foundation for a new generation of smarter, context-aware AI systems — from Google Search to intelligent assistants. We’ll break down how it works, why it matters, and what made it so effective.