
How can a machine understand and generate human language?
Image: 1993MR2Turbo, CC BY-SA 3.0, via Wikimedia Commons
How can a machine understand and generate human language?
Imagine you're trying to translate a long, complex sentence from English to German, but the sentence is too long for your computer to handle at once.
The transformer architecture breaks down the sentence into smaller parts, processing them separately and then combining them to understand the whole sentence. This way, it can handle long sentences more efficiently.
Example
Instead of trying to translate "The quick brown fox jumps over the lazy dog" all at once, the transformer would handle "The quick brown fox" in one part and "jumps over the lazy dog" in another, then combine them to understand the full sentence.
Remember this
The transformer distributes long sequences across multiple devices for better processing efficiency.
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
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