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Re:Large language models reduce public knowledge sharing on ... by antisthenes on Sunday October 13, 2024 @12:12PM (#41829177)
Synthetic data without some kind of external validation is garbage.

E.g. you can't just synthetically generate code, something or someone needs to run it and see if it performs the functions you actually asked of it.

You need to feed the LLM output into some kind of formal verification system, and only then add it back to the synthetic training dataset.

Here, for example - dumb recursive training causes model collapse:

https://www.nature.com/articles/s41586-024-07566-y

Re:Large language models reduce public knowledge sharing on ... by jneagu on Sunday October 13, 2024 @12:22PM (#41829259)
Anecdotally, synthetic data can get good if the generation involves a nugget of human labels/feedback that gets scaled up w/ a generative process.
Re:Large language models reduce public knowledge sharing on ... by HPsquared on Sunday October 13, 2024 @02:49PM (#41830502)
There are definitely a lot of wrong ways to do it. Doesn't mean the basic idea is unsound.