Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

Using calculated infrared spectroscopy as input, the proposed machine learning framework, consisting of multiple blocks and a fully connected layer could accurately predict target structural and ...