1
Auto-correct that just fixes the mistake instead of giving me the red-line
so i can just keep going, exxentially typing approx charxters and the ai just fufgers it out
anyone seen this?
anyone seen this?
1. Data issue identification 2. Solution and implementation
Most issues are discovered in the data warehouse. Entity matching customer data across different systems, some business process results in duplicate, or null data. I know there are existing, non-LLM, products that do this. I'm curious to compare those with new LLM first products.
On solution/implementation. Ideally you're able to fix this in the source system, either in your SaaS tool or in the way you write production data. You can also fix this in the data warehouse, munging/ETL'ing the data. Seems like LLMs could help to 1) identify and recommend a change in an external system, 2) submit a PR to solve this in the data warehouse.
Anyone know anyone working on these problems?