Since around 2022, large language models (LLMs, or foundation models) trained on vast amounts of text have gained attention . While they still do not match human inference capabilities, LLMs such as the Generative Pretrained Transformer 4 (GPT-4) are capable of natural language-based reasoning, allowing for more reliable predictions and chemical proposals compared to previous AI that did not adequately consider linguistic or scientific theories . GPT-4 also possesses exceptional programming capabilities. For example, it can generate scripts to control automated experimental devices based on the text described in experimental sections . Multimodal models, including GPT-4, capable of image recognition have also emerged, proposing their use in automated collection of experiments .