I guess at first the data updates are more frequent until you get to a point where more data doesn’t give you better performance. At this point the frequency of updates decreases, but how do we know how often we should update the data then?
Related topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Refine or train from scratch after updating dataset | 1 | 55 | May 18, 2023 | |
| What is the best way to find a balance between a data-centric and a model-centric approach? | 1 | 89 | August 14, 2021 | |
| What types of model or dataset evaluations have you found to be most valuable for identifying data-centric improvement opportunities? | 1 | 50 | May 18, 2023 | |
| Decision on data quality and quantity | 1 | 67 | August 11, 2021 | |
| Best way to benchmark your Data-centric AI? | 1 | 64 | May 16, 2023 |