Evidence
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This survey reviews the emerging landscape of LLM applications in chemistry, organizing existing approaches by the chemical tasks they target and the modalities they employ. We first examine how molecular representations are adapted for language models, then survey applications spanning property prediction, retrosynthesis, and molecular generation, before discussing the open challenges that remain.
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BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
Safety : While large-scale language models serve as a novel technique, their generated outputs are determined by a certain probability distribution, resulting in unforeseen dangers of generating bias, discrimination, or harmful content. Though we have endeavored to reduce the potential risk of BioMe…
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Safety : While large-scale language models serve as a novel technique, their generated outputs are determined by a certain probability distribution, resulting in unforeseen dangers of generating bias, discrimination, or harmful content. Though we have endeavored to reduce the potential risk of BioMedGPT by fine-tuning on meticulously curated English biomedical corpus, it is hard to fully eliminate this problem. It is essential to ensure the responsible and ethical use of BioMedGPT. While BioMedGPT is endowed with expertise in biomedicine and chemistry, we emphasize that it should NOT be employed for research scenarios that endanger human life, and any further real-world applications should undergo cautious and professional supervision and comprehensive experiments.