Towards Fine-Dining Recipe Generation with Generative Pre-trained Transformers

• URL: http://arxiv.org/abs/2209.12774v1
• Date: Mon, 26 Sep 2022 15:33:09 GMT
• Title: Towards Fine-Dining Recipe Generation with Generative Pre-trained Transformers
• Authors: Konstantinos Katserelis, Konstantinos Skianis
• Abstract summary: We propose a novel way of creating new, fine-dining recipes from scratch using Transformers. Given a small dataset of food recipes, we try to train models to identify cooking techniques, propose novel recipes, and test the power of fine-tuning with minimal data.
• Score: 1.167576384742479
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Food is essential to human survival. So much so that we have developed different recipes to suit our taste needs. In this work, we propose a novel way of creating new, fine-dining recipes from scratch using Transformers, specifically auto-regressive language models. Given a small dataset of food recipes, we try to train models to identify cooking techniques, propose novel recipes, and test the power of fine-tuning with minimal data.

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