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Joined 1 year ago
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Cake day: June 19th, 2023

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  • I understand where your coming from. If you are used to cooking “by the seat of your pants” for one scaling to a group is more complex than just increasing the amounts.

    A couple things that can trip you up:

    Prep: Bigger ingredient amounts mean you probably should prep them before starting. E.g I can peel and dice one potato in the time it takes water to come to a boil. 6 potatoes, not so much. Do a mise en place.

    Seasoning: taste more often and consider aiming for a more “average” palette. E.g I like my food with very low salt but more pepper, but I don’t do this when cooking for others.

    Pans: larger sizes mean you might have to do some steps in batches (browning) or use two pans where you could have used a single pan for one (e.g. split the pan and brown meat at the same time as cooking onions). Create pans/trays to hold the parts of the meal that are partially cooked. When making a lot of something, a little prep and organization makes things go smoothly since you might be repeating the same task several times, so if that task is a little quicker, you get a big benefit. Whereas you might not want the extra prep pans to wash when cooking for one, when cooking for more the better organization actually makes it go quicker.

    You still can cook by taste/eye/instinct for the ingredients and amounts. It’s just that planning and organization becomes more important.




  • I think this model has billions of weights. So I believe that means the model itself is quite large. Since the receiver needs to already have this model, I’d suggest that rather than compressing the data, we have instead pre encoded it, embedded it in the model weights, and thus the “compression” is just basically passing a primary key that points to the data to be compressed in the model.

    It’s like, if you already have a copy of a book, I can “compress” any text in that book into 2 numbers: a page offset, and a word offset on that page. But that’s cheating because, at some point, we had to transfer to book too!