| IBA LLC’s research teams are working on Hidden spaces states quantification techniques to decipher the black-box processing nature of the Large Language Models. It is an outrageous idea “incredibly challenging bordering on impossible” – this comment in bold is by a famous LLM 🙂 . Throughout human endeavor from the realm of impossible, possible is created; the following are but few examples of the practical benefits of such a discovery shall entail: |
- Drug discovery: Hidden state space quantification could be used to model complex biological systems and predict how different compounds would interact with them. This could accelerate the process of drug discovery by identifying promising compounds earlier in the development process.
- Climate modeling: Accurately predicting climate change requires sophisticated models that take into account many interdependent variables. Hidden state space quantification could help develop more accurate models by providing a framework for quantifying uncertainty and accounting for missing data.
- Financial forecasting: Predicting market trends is notoriously difficult due to the large number of factors that can influence stock prices. Hidden state space quantification could be used to build more robust financial models that account for these complexities and provide more accurate predictions.