Open AI Platform and navigate to your model, there is one model listed:
Open the model and choose your version then click on the Tab TEST & USE and enter the following input data:
{"instances": ["London on Monday evening"]}
After a couple of seconds, you get the prediction response. Where London got pedicted as geolocation (B-geo), and Monday evening as time where Monday is the beginning (B-tim) and evening is inisde (I-tim).
{
"predictions": [
[
"B-geo",
"O",
"B-tim",
"I-tim",
]
]
}Congratulations you trained and deployed a Named Entity Recognition model where you can extract entities. There are many use cases where such models can be used.
Examples:
- Optimize search results by extract specific entities out of search queries.
- Classify large document archives by making entities filterable.
- Enhance access for digital research of large document archives.
- Route customer support message by extracting the department or product.
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