Nexadata enables users to provide valuable feedback on natural language model inferences and their performance in transformation pipelines. By collecting ratings and input for each step, Nexadata improves its capabilities while empowering users to refine outputs.
Why Feedback Matters
Feedback is crucial for enhancing the accuracy and reliability of the inferences made by Nexadata's natural language capabilities. Each input helps the system learn and adapt, ensuring future results align more closely with user expectations.
How to Provide Feedback
When using a Nexadata pipeline to specify transformations in natural language, click the 💬 icon to open the feedback interface and share your input.
Rate the Transformation
For each step of the pipeline, rate how well the transformation performed on a scale (e.g., 1–5 stars or a similar metric). This measures the quality of the output.Add Direct Input
If the transformation did not meet your expectations, provide the correct answer or desired output. This direct input is invaluable for improving the model.
Benefits of Feedback for You
Improved Accuracy: Your insights help refine future inferences, reducing the need for manual corrections.
Customized Performance: Tailored improvements align transformations with your specific needs and contexts.
Contributing to Innovation: By participating, you actively contribute to advancements in Nexadata's capabilities.
Optional but Powerful
Submission of feedback is optional. However, every piece of feedback you provide plays a key role in making Nexadata smarter and more user-centric.