Can large language models understand molecules? https://t.co/uH2CgN5Pl0 #bioinformatics #feedly
Can large language models understand molecules?
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May 2024 – Aug 2024Where it's discussed
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What people are saying
The collective discussions highlight an overall positive view of the article, with comments like 'Can large language models understand molecules?' expressing curiosity and optimism, while mentions of bioinformatics hashtags suggest an interest in practical applications. The tone is generally supportive, emphasizing the promising results of LLaMA models surpassing GPT, indicating a recognition of the study's potential to shape future research and technological developments.
Most discussions acknowledge the potential of large language models (LLMs) in understanding molecules, with some expressing optimism about their capabilities.
The posts show moderate interest, as participants are intrigued by the implications for bioinformatics and drug discovery but do not delve deeply into technical details.
Engagement appears balanced; some users comment on the significance of the findings, while others simply share enthusiasm without extensive discussion.
There is consensus that the research could influence future applications in chemistry and pharmaceuticals, indicating a notable but not transformative impact.
Abstract in brief
- Large language models like GPT and LLaMA are being explored for their ability to understand and represent chemical structures using SMILES notation, a way to encode molecules.
- The study compares GPT and LLaMA in forming SMILES embeddings for tasks like predicting molecular properties and drug interactions, finding that LLaMA performs better than GPT and even rivals specialized pretrained models.
- The results suggest that LLMs have significant potential for molecular embedding, encouraging further research into their applications in chemistry and drug discovery.]
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Most liked on X and BlueskyCan Large Language Models Understand Molecules?. https://t.co/VeR5dSiFXV
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Evaluating the Role and Challenges of Large Language Models in Biomedicine
36 months after ChatGPT's release, the potential and limitations of LLMs in biomedical research and healthcare are discussed. The talk addresses accuracy, error tolerance, and the need for evaluation frameworks to…
Can large language models understand molecules? https://t.co/uH2CgN5Pl0 #bioinformatics #feedly
Can Large Language Models Understand Molecules?. https://t.co/VeR5dSiFXV
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