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ModelsIntermediate2017

Transformer

Transformer

A transformer is the neural-network design behind most modern language models. It is especially good at understanding relationships within information.

Explained simply

A transformer is the neural-network design behind most modern language models. It is especially good at understanding relationships within information.

1Input tokens
2Attention
3Connect relationships
4Output

At a glance

Category
Models
Difficulty
Intermediate
Introduced
2017

Real example

A transformer connects words across a sentence to understand which details relate to each other.

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

Origins

The ideas behind Transformer begin developing.

2017

Transformer becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

Transformer becomes connected to newer AI systems and products.

Today

Transformer remains relevant in the models area of AI.

Dates for broad concepts may describe the period when the idea emerged or became widely used, rather than one exact invention date.

Learn next

Simple infographic

A quick visual way to understand Transformer.

1Input tokens
2Attention
3Connect relationships
4Output
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