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The hydra-python-agent currently uses the hardcoded method to query the Natural Language Queries, this feature is quite handy and useful. But we are not able to leverage the easiness of Natural Language as we are bonded with some fixed queries.
Expected Behaviour:
To utilize its complete potential we can use NLP Based Models (like BERT) to understand any query made in Natural Language.
We can start thinking with this basic architecture :
The text was updated successfully, but these errors were encountered:
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Current Behaviour:
The hydra-python-agent currently uses the hardcoded method to query the Natural Language Queries, this feature is quite handy and useful. But we are not able to leverage the easiness of Natural Language as we are bonded with some fixed queries.
Expected Behaviour:
To utilize its complete potential we can use NLP Based Models (like BERT) to understand any query made in Natural Language.
We can start thinking with this basic architecture :
The text was updated successfully, but these errors were encountered: