4 DATA EFFICIENCY
4.1 Introduction
The insatiable demand for data by large-scale models has significantly fueled the growth of the data collection and preparation
industry. However, this reliance on vast datasets, often accumulated over years, introduces substantial challenges in model
training. These include not only prolonged training durations but also escalated costs due to extensive power consumption
and the need for larger data storage capacities. Consequently, finding ways to use data more efficiently in both training and
validation phases is of paramount importance. In this section, we will delve into strategies and considerations for enhancing
data efficiency, addressing how to maximize the utility of data while mitigating the associated costs and resource demands.
TheEfficiencySpectrumofLargeLanguageModels-AnAlgorithmicSurvey