Rlafuente

Rlafuente documents a small decision model inspired by Jev-like architecture that learns to make cooking-related choices. The model is trained on decision-making tasks within a culinary domain, demonstrating how lightweight AI systems can be specialized for specific practical applications.

This project explores the intersection of machine learning and everyday tasks, showing how decision models can be adapted for real-world scenarios like cooking. The work is presented as a technical case study on model training and application.