T5 (Text-to-Text)
T5 treats many language jobs as “text in, text out.”
What it does
T5 treats many language jobs as “text in, text out.”
Unified: Doing many jobs with one system • Transfer: Moving skills
How it works
- Take written text as the input.
- Decide what kind of text answer is needed.
- Write new text as the output.
Uses and applications
- It can turn a long article into a short summary.
- It can translate text into another language.
- It can answer a question using text.
In short
T5 turns many language tasks into the same text-to-text shape.
Related methods
- Transformer: The encoder-decoder architecture that T5 uses.
- GPT: Generates continuations instead of framing every task as text in, text out.
- BERT: Uses only the encoder side, mainly for understanding tasks.
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