BERT
Bidirectional Encoder Representations from Transformers
BERT is a language model designed to understand the meaning of words by looking at the words before and after them.
Explained simply
BERT is a language model designed to understand the meaning of words by looking at the words before and after them.
At a glance
- Category
- Models
- Difficulty
- Intermediate
- Introduced
- 2018
Real example
A search engine uses BERT to understand that “bank” means a riverbank in a question about fishing.
Why it matters
It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.
Timeline
The ideas behind BERT begin developing.
BERT becomes a recognised term or technique.
Research and practical applications increase.
BERT becomes connected to newer AI systems and products.
BERT remains relevant in the models area of AI.
Learn next
Continue with these connected terms:
Simple infographic
A quick visual way to understand BERT.
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