SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules

1. 1Build a modular framework using SciCore-Mol to integrate molecular cognition modules with LLMs
2. 2Configure the framework to handle heterogeneous scientific data such as molecules
3. 3Apply the framework to text-based reasoning tasks to reduce information loss and semantic noise
4. 4Test the performance of the augmented LLMs on molecular data
5. 5Run experiments to evaluate the effectiveness of SciCore-Mol in improving LLMs' accuracy

Research scientists and AI engineers on a team can benefit from SciCore-Mol to improve the accuracy of their LLMs when dealing with molecular data, and software engineers can use this framework to develop more effective AI models

💡 SciCore-Mol's modular framework can be used to plug in molecular cognition modules to LLMs, improving their ability to handle scientific data

💡 SciCore-Mol bridges the gap between LLMs and molecular data, reducing info loss and semantic noise #AI #Science