BERT

Technical Definition

BERT (Bidirectional Encoder Representations from Transformers) is a Google NLP model that better understands search query context. Launched 2019, it improved understanding of conversational queries and words that depend on surrounding context. BERT analyzes words bidirectionally (before and after) rather than sequentially. Write naturally; BERT helps Google understand conversational content.

Simple Explanation (ELI13)

BERT is a technology Google uses to understand the meaning of searches, especially tricky ones where small words matter. Before BERT, Google might not understand 'flights to Brazil from USA' vs 'flights to USA from Brazil.' Now it gets the context better. Just write naturally and BERT will understand.

Related Terms

NLP, Google Algorithm, Semantic Search, MUM

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