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Instead of relying on promptengineering, tool choice forces the model to adhere to the settings in place. When using the tool choice of auto , Amazon Nova will use chain of thought and the response of the model will include both the reasoning and the tool that was selected.
The article is written for product managers, UXdesigners and those data scientists and engineers who are at the beginning of their Text2SQL journey. 3] provides a more complete survey of Text2SQL data augmentation techniques. The simplest example are different orderings of WHERE clauses.
By using a combination of transcript preprocessing, promptengineering, and structured LLM output, we enable the user experience shown in the following screenshot, which demonstrates the conversion of LLM-generated timestamp citations into clickable buttons (shown underlined in red) that navigate to the correct portion of the source video.
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