LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...
Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...