An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code
Max Hort,
Anastasiia Grishina,
Leon Moonen
Abstract:Large language models trained on source code can support a variety of software development tasks, such as code recommendation and program repair. Large amounts of data for training such models benefit the models' performance. However, the size of the data and models results in long training times and high energy consumption. While publishing source code allows for replicability, users need to repeat the expensive training process if models are not shared.GOALS: The main goal of the study is to investigate if p… Show more
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