Javier Marin

How natural systems fundamental laws help explain AI’s unexpected abilities Javier Marin · Follow Published in Towards Data Science · 17 min read · 2 days ago — Image by Michaela. Pixabay.com Note: This article presents key findings from our recent research paper, “A non-ergodic framework for understanding emergent capabilities in Large Language Models” [link1] [link2]. While the paper offers a comprehensive mathematical framework and detailed experimental evidence, this post aims to make these insights

A new approach to AI reasoning optimization Javier Marin · Follow Published in Towards Data Science · 14 min read · 1 day ago — Introduction Multiple facts are needed to answer a multi-hop question-answering (QA), which is essential for complex reasoning and explanations in Large Language Models (LLMs). QA quantifies and objectively tests intelligent system reasoning. Due to their unambiguous correct solutions, QA tasks reduce subjectivity and human bias in evaluation. QA functions can

A Hybrid Quantum-Classical Approach to Synthetic Data Generation Javier Marin · Follow Published in Towards Data Science · 9 min read · 3 days ago — As quantum hardware advances, there is potential for a quantum advantage in specialized data-generating tasks, potentially exceeding classical approaches. Quantum Generative Adversarial Networks (QGANs) are a promising advancement in synthetic data generation, particularly for tabular data. Quantum circuits: the universal language of quantum computing As I recall Scott Aaronson