Hi! I'm Tommy, a high school graduate from Spain. I completed my studies one year ahead of schedule with an A+ GPA, driven by a strong passion for mathematics, physics, computer science, emerging technologies, and artificial intelligence.

I created LLMNCS (Large Language Models Normaliced Content Schema) to address a growing need in the world of large language models: transparency, structure, and token efficiency.

As LLMs continue to grow in scale and usage, a major bottleneck arises from how poorly structured or redundant web content can be. My goal with LLMNCS is to define a set of semantic standards that allow content to be summarized and organized in a way that large language models can process 90% more efficiently, both in terms of token usage and contextual clarity.

LLMNCS is inspired by projects like schema.org, but designed specifically for machine learning consumption - providing both humans and machines with a common, compact, and meaningful structure for web knowledge.

This project is entirely student-led, open, and evolving. I believe the future of AI depends not only on better models, but on better information architecture, and I hope this initiative can help shape it.

If you're an AI researcher, developer, or simply curious, feel free to explore, contribute, or reach out.