![]() ![]() There are 10 widgets (yes, you read that right) to choose from. Apollo for RedditĪpollo, a popular third-party app on the App Store, has nailed the widget implementation with the iOS 14 update. Of course, this is not a definitive least and we might update or replace some of the items in the future. We have hand-picked twenty best useful widgets to add on the iPhone home screen. We are barely into the second week of the iOS 14 and the App Store is buzzing with smart and functional widgets support offering apps. The developer community is already hard at work to get their apps ready with the iPhone’s latest widget trend. You can choose from various widget sizes as well. It's an exciting space because it feels like these systems will affect large chunks of how we use computers.IOS 14 lets you add widgets to the home screen. Image generation is the "image answer" part of this system. And instead of getting just a list of references back, you get an "answer". There's too much data on the internet for any one person to ever meaningfully process. _Much_ more broadly, this space in AI/ML with GPT3/Dalle is exciting because it feels kind of like what the internet was made for. Being able to give it just a few photos, and say things like "show me surfing in the ocean" and get a reasonable image back. It's also terrific for things like blog photos if you don't have the time or talent to create something yourself, but want some creative control.Įxpansions like dream booth, which let you fine tune the system with your own submitted images are also quite amazing. It feels like it can absolutely replace at least the stock photo industry. It creates things that would take me hours (if not days) to create, which no other tech I've tried has been able to generate. ![]() I can't speak for others, but I've personally been quite impressed by the dalle output. There were undoubtedly those who saw cars as hype, much like image generation is seen today I'm sure buggy whip manufacturers saw cars as hype and refused to get on what looked like a hype train to them. But you had to see past the shortcomings of the earliest cars to "get it", much like you have to see past the 3 armed monstrosities that current image generation techniques produce and see the promise of the technology. It's easy, in hindsight, to see cars as inevitable. They'll never replace work horses with them. Main use case then was as a rich person's toy (entertainment). Moving goods and people around was already a solved problem with horses and trains and boats.Ĭars then: take enormous energy to move very little, and slowly. Some were powered by steam or coal but those that were powered by gas had a different problem - there were no gas stations. They were loud and stinky and were unsuitable for dirt roads, spooking horses, causing the UK to basically ban them. This mean, it will be hard on Metal (afaik they don't have atomics for floats though they do have atomics for integer so you can probably use fixed points numbers). One little caveat of the backward pass (which you only need for training) is that it needs atomic_add to be easy to parallelize. One interesting thing to notice in the backward pass, is that it doesn't use the attn of the forward pass, so it doesn't need to be kept preserved (only need to preserve Q,K,V). But it doesn't need any extra memory allocation which makes it easy to parallelize.Īlternatively you can use an O(attention horizon * number of thread in parallel) (like flash attention) extra memory buffer to avoid the re-computation.Ĭoncerning the backward pass, that's the same thing, you don't need extra memory if you are willing to do some re-computation, or linear in attention horizon to not do re-computation. The algorithm is still quadratic in time with respect to the attention horizon (although with a bigger constant (2x or 3x) due to the re computation). If you relax this need for performance and allow some re-computations, you can write a qkvatt function which takes q,k,v and a buffer to store the resulting attention, and compute without needing any extra memory. Thankfully, you can probably do something slower but more adapted to your memory constraints. ![]() Because for performance reasons, they did a lot of shenanigans to respect the memory hierarchy. Porting FlashAttention to Metal will be quite hard. ![]()
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