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Fix example.

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Raphael Mitsch 2023-10-11 12:04:30 +02:00
parent 0c36b2d636
commit 3cb57e18e1
1 changed files with 5 additions and 4 deletions
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website/docs/api/large-language-models.mdx
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@ -784,18 +784,19 @@ supports `.yml`, `.yaml`, `.json` and `.jsonl`.
path = "textcat_examples.json"
```
If you want to perform few-shot learning with a binary classifier, you can
provide positive and negative examples - e. g.:
If you want to perform few-shot learning with a binary classifier (i. e. a text either should or should not be assigned
to a given class), you can provide positive and negative examples with the POS/NEG label. An example for spam
classification:
```json
[
{
"text": "You won the lottery! Wire a fee of 200$ to be able to withdraw your winnings.",
"answer": "Spam"
"answer": "POS"
},
{
"text": "Your order #123456789 has arrived",
"answer": "NotSpam"
"answer": "NEG"
}
]
```