I feel like generating recipe ideas/titles is the easy part, and advanced AI techniques are not necessary. Even the article notes that there is not really any difference between 1 round of training and 40 rounds of training with their model.
Actually generating a recipe is obviously much harder, and should be effectively impossible unless you include a humanoid robot that can cook and taste. I think the best you could do is generate a possible recipe that highlights ingredients and techniques you'll need to experiment with.
Also some of their final ideas don't really make sense:
- "Carb smart mexican beef and capsicum stuffed peppers with fries , avo and sour cream". Carb smart but it comes with fries? And "capsicum stuffed peppers" is a strange way to phrase it.
- "One - pan beef meatloaf italiano with green peas and spinach". You can cook this in one pan if you really want to but it will not be good.
- " little ears " pasta serves as balsamic tomatoes. Strange phrasing.
A do think a different model could solve these problems, but coming up with generic recipe ideas is not really a problem anyone has.
Actually generating a recipe is obviously much harder, and should be effectively impossible unless you include a humanoid robot that can cook and taste. I think the best you could do is generate a possible recipe that highlights ingredients and techniques you'll need to experiment with.
Also some of their final ideas don't really make sense:
- "Carb smart mexican beef and capsicum stuffed peppers with fries , avo and sour cream". Carb smart but it comes with fries? And "capsicum stuffed peppers" is a strange way to phrase it.
- "One - pan beef meatloaf italiano with green peas and spinach". You can cook this in one pan if you really want to but it will not be good.
- " little ears " pasta serves as balsamic tomatoes. Strange phrasing.
A do think a different model could solve these problems, but coming up with generic recipe ideas is not really a problem anyone has.