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Apple Enhances AI Models Using Synthetic Data Following Performance Feedback
In response to critiques regarding the performance of its artificial intelligence (AI) products, particularly concerning features like notification summaries, Apple has detailed its strategy to refine its AI models. The tech giant announced on Monday it is leveraging user data privately with the aid of synthetic data to achieve these enhancements.
Employing Differential Privacy for Model Improvement
Apple explained its methodology, centered around an approach known as “differential privacy.” This technique involves initially generating synthetic data. Subsequently, with user consent via opting into device analytics sharing, Apple polls user devices with segments of this fabricated synthetic data. The purpose is to evaluate the precision of its current models through comparison, thereby enabling iterative improvements.
Understanding Synthetic Data
According to Apple’s official blog post, “Synthetic data is designed to replicate the structure and crucial characteristics of user data but explicitly excludes any actual user-generated content.” The company elaborated on the process of creating representative synthetic emails: “To curate a representative set of synthetic emails, we begin by producing an extensive collection of artificial messages encompassing diverse subjects […]. We then derive a representation, termed an embedding, for each synthetic message. This embedding captures essential dimensions of the message, such as language, topic, and length.”
Device Analytics and Model Accuracy Assessment
These embeddings, Apple clarified, are then transmitted to a limited number of user devices that have elected to participate in Device Analytics. These devices then undertake a comparison between the received embeddings and a sample of emails present on the device. This process allows the devices to inform Apple about which embeddings exhibit the highest degree of accuracy in representing real user data patterns.
Expanding Synthetic Data Application Across Features
Apple indicated that this method is currently being applied to enhance its Genmoji models. Looking ahead, the company intends to extend the use of synthetic data to improve a broader range of features. These include Image Playground, Image Wand, Memories Creation, Writing Tools, and Visual Intelligence functionalities. Furthermore, Apple confirmed that it will also utilize synthetic data and device analytics participation from opted-in users to refine email summary capabilities in its services.
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