AI Sheets has a powerful built-in feedback mechanism to continuously improve the quality of the output. Users can manually edit the content of AI-generated cells or point and click on good quality results, and these actions are logged and used as a few-shot example. When the user regenerates the column content, the system takes this feedback into account to optimize the output. This approach is particularly well suited to improving the accuracy of cues and the quality of model output in rapid iterations, where users can tweak and regenerate multiple times to obtain increasingly desirable results.
This answer comes from the articleAI Sheets: building and processing datasets using AI models in tables without codeThe
May not be reproduced without permission:AI productivity tools " AI Sheets' Feedback Mechanisms Can Directly Train Models to Improve Output Quality
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