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I've not done pre-training for LLMs, but years ago I generated a completely synthetic dataset for table recognition using an off the shelf document segmentation
by llm_trw 2y ago
I've not done pre-training for LLMs, but years ago I generated a completely synthetic dataset for table recognition using an off the shelf document segmentation model, raw TeX, a random table generator, a discriminator and an evolutionary algorithm to generate different styles of tables.
The project got killed due to management but I still got results on that dataset better than state of the art in 2023 with no human annotation.
The Venn diagram of people who know TeX well enough to write a modular script for table generation with metadata and people who know how to train LLMs has an intersection of a dozen people I imagine.
- theptip 2y agoThis is a great example. Areas where an expert can write a synthetic data generator (eg code, physics simulators, etc) are the dream scenario here. It seems to me there is a huge amount of unharvested low-hanging fruit here, for example IIUC GPT is not trained on synthetic code in languages other than Python (and maybe JS, I don’t recall).