FINE-TUNING EXPERIMENT / PROJECT OVERVIEW
Moroccan Cuisine AI.
A custom language-model experiment using LoRA fine-tuning to explore Moroccan recipes, ingredients and culinary knowledge.
CULINARY KNOWLEDGE, REIMAGINEDILLUSTRATIVE PROJECT VISUALTHE PRODUCT
Moroccan Cuisine AI, at a glance.
A domain-specific language-model experiment focused on Moroccan recipes, ingredients, cooking techniques and culinary context.
The approach
The project uses parameter-efficient fine-tuning to adapt a base language model to a focused knowledge domain. Its pipeline covers data preparation, training and inference. The work demonstrates a custom-model workflow; no production accuracy benchmark is claimed.
Product capabilities
- Preparation of cuisine-focused training data
- Llama model adaptation with LoRA
- Saved fine-tuning adapters and inference scripts
- Multilingual culinary question-and-answer exploration
THE NEXT CHAPTER IS YOURS
What if
we built it?
Tell us what you want to build.
We’ll discuss the scope and a useful next step.
