The challenge at the time was generating realistic correlations between the columns. How do you approach this?
I noticed LLMs are a huge breakthrough here with the downside that they currently rely on massive online models. I wonder if someone could train a tiny model that could fit on a local machine specifically to solve the synthetic data problem.
The challenge at the time was generating realistic correlations between the columns. How do you approach this?
I noticed LLMs are a huge breakthrough here with the downside that they currently rely on massive online models. I wonder if someone could train a tiny model that could fit on a local machine specifically to solve the synthetic data problem.