Biblioteca de articulos
Esta seccion muestra una parte central de mi experiencia: investigacion aplicada, criterio técnico y capacidad para explicar con claridad lo que experimento, construyo y aprendo.
No es una coleccion aislada de posts. Son articulos que escribi para dejar evidencia de mi forma de pensar, investigar y resolver problemas en IA, agentes, modelos y desarrollo de software.
Articulo destacado
Understanding neural networks as function approximators and their inherent limits.
Step‑by‑step guide on how system prompts define tool usage in large language models, with three difficulty levels covering basic calls, streaming inference, and token‑level fine‑tuning.
How to improve reproducibility in large language models.
SROW(Same Result in its Own Way) is the real way to measure AI impact
A basic practical guide of concepts to understand open language models.
A brief sketch of the basic rules for development in the world of AI agents