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Highlights

Companies that have invested in enabling a data flywheel at the product level know that they’ll be okay, especially because the next challenge with the democratization of LLMs will demand differentiation at the data level, especially of higher quality data for fine-tuning models (rather than swamp loads of poor quality data). (View Highlight)

Effective data management, particularly in the formulation of a well-suited training dataset, holds significance for enhancing model performance & improving training efficiency during pretraining & supervised fine-tuning phases. – [2312.01700] Data Management For Large Language Models: A Survey (View Highlight)