I‘m excited at the development possibilities presented by Apple Intelligence and have begun imagining retrieval augmented generation use cases. Writing tools suggest that this is possible, but I have not seen any direct statements by Apple regarding use of AFMs for RAG applications. Have any references to APIs or sample code for RAG applications been published?

I'm hitting a limit when trying to train an Image Classifier. It's at about 16k images (in line with the error info) - and it gives the error: IOSurface creation failed: e00002be parentID: 00000000 properties: { IOSurfaceAllocSize = 529984; IOSurfaceBytesPerElement = 4; IOSurfaceBytesPerRow = 1472; IOSurfaceElementHeight = 1; IOSurfaceElementWidth = 1; IOSurfaceHeight = 360; IOSurfaceName = CoreVideo; IOSurfaceOffset = 0; IOSurfacePixelFormat = 1111970369; IOSurfacePlaneComponentBitDepths = ( 8, 8, 8, 8 ); IOSurfacePlaneComponentNames = ( 4, 3, 2, 1 ); IOSurfacePlaneComponentRanges = ( 1, 1, 1, 1 ); IOSurfacePurgeWhenNotInUse = 1; IOSurfaceSubsampling = 1; IOSurfaceWidth = 360; } (likely per client IOSurface limit of 16384 reached) I feel like I was able to use more images than this before upgrading to Sonoma - but I don't have the receipts.... Is there a way around this? I have oodles of spare memory on my machine - it's using about 16gb of 64 when it crashes... code to create the model is let parameters = MLImageClassifier.ModelParameters(validation: .dataSource(validationDataSource), maxIterations: 25, augmentation: [], algorithm: .transferLearning( featureExtractor: .scenePrint(revision: 2), classifier: .logisticRegressor )) let model = try MLImageClassifier(trainingData: .labeledDirectories(at: trainingDir.url), parameters: parameters) I have also tried the same training source in CreateML, it runs through 'extracting features', and crashes at about 16k images processed. Thank you

I requested early access for image playground 24 hours ago and haven't gotten it approved. Are they rolling it out slowly or is it a problem with my phone.

I have been wating almost 40 hrs or more and still nothing apple please do something how long have you guys been waiting

Apple, I speak for the majority when I say that we are frustrated, not exactly from the fact that we are unable to access features and test them and submit feedback and etc. but because of the fact that you are not communicating. If you may, please let us know right here if this is a server bug or if it is initial strategy to rollout the generative features to a small and limited amount of people on IOS18.2 DB1 Thank you!

I have updated the ios 18.2. The image playground is stuck at access requested and its been one and a half day. When will this be available on my phone i am using 16 pro max.

I integrated the image playground sheet in my app, however when I select Take Photo on the iOS version of my app it just reloads the sheet. After several attempts I get the below error message. This issue doesn’t occur on the macOS version of my app, where it first requests camera permission before allowing me to take the photo. I’m not sure if this is happening because I don’t request the camera permission anywhere in my app. My app doesn’t use the camera at all apart from the Take Photo feature which is part of the image playground sheet. Feedback ID: FB15591786

Is anyone else seeing their apps crash on iOS/macOS 17.4/14.4 and newer when building a project that simply just includes the iOS 18 @AssistantIntent Macro? The beta 4 releases still have this problem. There are no notes about this that I have seen in the beta release notes. Crash message shown in console when trying to run on 17.4, 17.5, 17.5.1, etc: dyld[21935]: Symbol not found: _$s10AppIntents15AssistantSchemaV06IntentD0VAC0E0AAWP Referenced from: <F7A1FEF0-F3B0-379C-A914-D1FB0BA7C693> /Users/jonathan/Library/Developer/CoreSimulator/Devices/CA308F47-BCA8-4429-8599-1BB1CCEAB5B6/data/Containers/Bundle/Application/D7DC8E16-90DB-406A-A521-20F18326E4A7/IntentDemo.app/IntentDemo.debug.dylib Expected in: <88E18E38-24EC-364E-94A1-E7922AD247AF> /Library/Developer/CoreSimulator/Volumes/iOS_21F79/Library/Developer/CoreSimulator/Profiles/Runtimes/iOS 17.5.simruntime/Contents/Resources/RuntimeRoot/System/Library/Frameworks/AppIntents.framework/AppIntents Obviously, the new Apple Intelligence AssistantIntents only work on the 2024 OS releases. However, even when these new App Intents are marked with @available(iOS 18, macOS 15, *), the app crashes on any earlier OS version. But it runs just fine on iOS 18 and macOS 15... I would love for me to just have done something wrong but I don’t think I have… Here is the sample project: https://github.com/JTostitos/FB14323923 Maybe it's a compiler issue thats failing to strip out the macro when building for older OS's or an Xcode issue - I have no idea. I just would like to know why its not working and how to resolve it. Thanks in advance for anyones help...

I downloaded the RC beta version on my Macbook and joined the waitlist so far I haven't received any message or any kind of notifications that I'm in but I have a question kinda silly but just want confirmation. By joining the beta and AI on my MacBook, whenever the official version is released, am I gonna have AI on my iPhone since already joined AI through my MacBook in the beta version? Kinda curious about it.

Originally when Apple Intelligence launched there are some T&C for using and activate this Apple Intelligence. For activating Apple Intelligence at China first of all purchased iPhone must be non-Chinese iPhone means that the iPhone aren’t purchased in China not include Hong Kong and Macau. Also if use this Chinese Apple account are also unable to activate the Apple Intelligence. To activate the Apple Intelligence, I have travel to Hong Kong and purchase iPhone 16 pro Max. To reach the requirement of activating Apple Intelligence, I’ve decided to switch my region from China to United States. I’ve started to switch my account from October 19, CST 2:00am, Shanghai time 3:00pm. Till now CST time 8:30am October 24, Shanghai Time 9:30pm I still can’t join the Apple Intelligence waitlist. I’m also upgraded my phone to iOS 18.2. I’ve contacted the Apple support using my Chinese phone number and it transferred to me Philippines Apple support team. It seems like the Philippine Apple support team doesn’t help me get anything. The Philippine Apple support team keeps saying that the beta version iOS right now in my phone has some problem on it. But when I log out this Apple ID, and changed to another Apple ID that is UK ones. I can successfully enable the Apple Intelligence. What does this say?! This shows that my Apple account has a problem on it. It doesn’t switch successfully to United States server! And the Philippine Apple support team keep asking me to restore my iPhone like crazy! I’ve told them that I have used several Apple account that is from United States and United Kingdom that can successfully enable the Apple Intelligence. But the Philippine Apple support team said that my Apple account doesn’t have any problem! Apple please solve the problem! Anyone who have facing this kind of problem please share to us!!! Cheers!

I'm using the iOS 18.2 beta on my iPhone 15 Pro Max, but can't find Apple Intelligence, and the Settings app still shows the Old Siri logo.

I'm using an iPhone 15 Pro Max and running developer beta 18.2 released today. I've already been an 'Apple Intelligence' user and now have been able to link it with my PAID ChatGPT account. HOWEVER; I'm searching for these Image features everyone seems to be posting about and cannot find them anywhere. I'm apparently supposed to sign up for beta access to the Image features through some new Apple natively released app that was supposedly included in this build update, which I cannot find. What gives??!!

Almost all the functions in Accelerate are for single precision (Float) and double precision (Double) operations. However, I stumbled upon three integer arithmetic functions which operate on Int32 values. Are there any more functions in Accelerate that operate on integer values? If not, then why aren't there more functions that work with integers?

So, I was working with organizing the Home Screen. Then I lost track of where I was and planed to just move it to the library but instead deleted it. How do I get It back?

Using an iPhone 15 Pro. I'm in Australia on iOS 18.2 Beta 1 but there's no mention of Apple Intelligence anywhere in the phone. Settings looks identical without the menu for AI, there's no playground image generation. It's as if my phone doesn't know it exists

I'm trying to run a coreML model. This is an image classifier generated using: let parameters = MLImageClassifier.ModelParameters(validation: .dataSource(validationDataSource), maxIterations: 25, augmentation: [], algorithm: .transferLearning( featureExtractor: .scenePrint(revision: 2), classifier: .logisticRegressor )) let model = try MLImageClassifier(trainingData: .labeledDirectories(at: trainingDir.url), parameters: parameters) I'm trying to run it with the new async Vision api let model = try MLModel(contentsOf: modelUrl) guard let modelContainer = try? CoreMLModelContainer(model: model) else { fatalError("The model is missing") } let request = CoreMLRequest(model: modelContainer) let image = NSImage(named:"testImage")! let cgImage = image.toCGImage()! let handler = ImageRequestHandler(cgImage) do { let results = try await handler.perform(request) print(results) } catch { print("Failed: \(error)") } This gives me Failed: internalError("Error Domain=com.apple.Vision Code=7 "The VNDetectorProcessOption_ScenePrints required option was not found" UserInfo={NSLocalizedDescription=The VNDetectorProcessOption_ScenePrints required option was not found}") Please help! Am I missing something?

I wanted to join the Apple Intelligence after I updated my iPhone 15pro to iOS 18.1 beta. But it is still showing that I’m in the waitlist. It has been almost one day! Why? Is it normal?

hi, I am currently running LSTM on TensorFlow. However, when i switched from keras2 to keras3. code running time has increased 10 times -- it seems there is no GPU acceleration. Here is my code: batch size = 256 optimiser = adam activation = tanh _______________________________________________ Layer (type) Output Shape Param # ============================================= input_1 (InputLayer) [(None, 7, 16)] 0 bidirectional (Bidirection (None, 7, 320) 226560 al) bidirectional_1 (Bidirecti (None, 7, 512) 1181696 onal) bidirectional_2 (Bidirecti (None, 256) 656384 onal) dense (Dense) (None, 1) 257 ============================================== Total params: 2064897 (7.88 MB) Trainable params: 2064897 (7.88 MB) Non-trainable params: 0 (0.00 Byte) ______________________________________________ This is keras 3.6.0 + tensorflow 2.17.0 + tensorflow-metal 1.1.0 training status: Training------------ Epoch 1/200 28/681 ━━━━━━━━━━━━━━━━━━━━ 8:13 756ms/step - loss: 0.5901 - mape: 338.6876 - mse: 0.8591 This is keras 2.14.0 + tensorflow 2.14.0 + tensorflow-metal 1.1.0 training status: Training------------ Epoch 1/200 681/681 [==============================] - 37s 49ms/step - loss: 3.6345 - mape: 499038.7500 - mse: 34.4148 - val_loss: 3.5452 - val_mape: 41.7964 - val_mse: 32.0133 - lr: 0.0010 Is that because keras3 has no GPU support on macos? Apart from that, if I change LSTM activation from tanh to sigmoid in keras2, it does not have GPU support as well. My system is 15.0.1 and the code was running on python3.11 I am not sure why these happen. Thanks

Hello. I can't find anything about the SSML that is used in Apple's speech synthesis. SSML from Google, Amazon and W3C either don't work or work incorrectly. Where is Apple's documentation for their implementation of SSML?

I'm trying to use the Spatial model to perform Object Tracking on a .usdz file that I create. After loading the file, which I can view correctly in the console, I start the training. Initially, I notice that the disk usage on my PC increases. After several GB, the usage stops, but the training progress remains for hours at 0.00% with the message "About 8hr." How can I understand what the issue is? Has anyone else experienced the same problem? Thanks Diego