CORDIS Project
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This project aims to develop a framework for selecting the most suitable large language models for specific machine learning tasks. It seeks to reduce the environmental impact of evaluating multiple models by creating a benchmark dataset and automated selection process.
Large Language Models (LLMs) are gradually becoming part of academic and industrial processes due to their inherent capacity to solve a multitude of different problems across different domains.
However, an open question remains – from the multitude of LLMs available, how to select the most appropriate LLM to use on a specific supervised machine learning (ML) problem (with or without fine-tuning), without evaluating a large portfolio of LLMs on the labelled dataset related to that ML problem.
Eva…
INSTITUT JOZEF STEFAN
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Germany, Freiburg
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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