Reducing the carbon footprint of natural language processing
The GreenNLP project is building resources for sustainable NLP
The recent dramatic advances in natural language processing (NLP) technology, such as neural machine translation (NMT) and large language models (LLM), are changing the way people work and interact with technology. These new NLP technologies have the potential to increase productivity and levels of automation in a wide variety of fields.
The downside of the new NLP technology is its enormous energy consumption. At a time when energy efficiency has become essential due to the climate crisis, the advances in NLP are vastly increasing the energy usage of the IT sector. The GreenNLP project addresses this issue by developing more environmentally sustainable ways of building and using NLP applications.
News from GreenNLP
GreenNLP papers at NoDaLiDa/Baltic-HLT 2025
GreenNLP has a strong representation at the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025). GreenNLP researchers will present four papers showcasing the multifaceted research done within the project.
24 January 2025
New guide: working with LLMs on supercomputers
An important part of the GreenNLP project is to disseminate guides and best-practices on efficient training of large language models in supercomputers. The first version of our “Working with large language models on supercomputers”-guide has been published on CSC’s documentation site.
13 September 2024
Areas of research
Consortium partners
