robert-te-ross

5 ms·

1. 1.▲
   by robert-te-ross 3y ago

   Thanks for the comment. We get this question often, and our most common answer is that our customers tried to solve their mapping problems using OpenAI calls. After it did not yield the expected reliability, consistency, and scalability res
2. 2.▲
   by robert-te-ross 3y ago

   Yes! Once the transformation job has been completed, you can review the mapping in the returned job payload and our Lume dashboard. You can review, edit, and deploy the mapping pipeline from the dashboard. There are two ways to fix mappings
3. 3.▲
   by robert-te-ross 3y ago

   In most cases, we build these transformations in a matter of seconds. Furthermore, we can detect changes from either source or destination and change the transformation accordingly, reducing maintenance burden as well.
4. 4.▲
   by robert-te-ross 3y ago

   Our system only uses LLMs at particular points of the process, so we do not expect letting users do this to have much value. However, descriptions we generate and/or take in as input for both end and start schema columns have a signifi
5. 5.▲
   by robert-te-ross 3y ago

   Yes, internally, we have separate models that produce tests the final data has to pass before being presented to the user. In addition, you can define your own tests on the platform, and we will ensure transformations produced will pass tho