Hi OpenAI team
I have a question about fine-tuning a fine-tuned model.
Is it possible to fine-tune a model that has already been fine-tuned? For example, if I fine-tune a model with dataset A and then fine-tune it with dataset B next week, will the model be able to handle both A and B datasets?
If not, how can I implement the method described in the example? Should I keep accumulating datasets and fine-tuning the model with the accumulated data, and then use the generated model?
This would seem to lead to a large amount of data for fine-tuning in the future.
I would appreciate your help on this matter.