Data Generation is Key to Discovery

The effectiveness of discovering molecules useful for diseases like cancer and Alzheimer's hinges on the availability of relevant data. Large language models cannot facilitate these discoveries because the necessary data is not included in their existing datasets. The solution lies in generating new data through large quantitative models (LQMs), which utilize equations as the foundational element for data creation. This approach is recognized as both efficient and precise, as equations represent the fundamental principles of the universe. The ability of humans to uncover these quantum equations is a remarkable achievement that underscores the significance of this approach.

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