Neat how do you compare yourself on the annotation capabilities with Datasaur.ai which launched in the last YC batch?
In terms of training the models for deployment -- do we own the artifact? Can I move that into my own model repository?
Also how do you feel this compares to using fine tuning on a publicly available BERT family model which is already fairly fast and easy not requiring a huge corpus, speaking from experience of recently having done so?
Are the benefits more from the tight feedback loop and already standing infrastructure?
In terms of training the models for deployment -- do we own the artifact? Can I move that into my own model repository?
Also how do you feel this compares to using fine tuning on a publicly available BERT family model which is already fairly fast and easy not requiring a huge corpus, speaking from experience of recently having done so?
Are the benefits more from the tight feedback loop and already standing infrastructure?