Dharmteja Mansingh’s Post

Apple's WWDC 2024 Highlights: Glimpse into Next-Gen AI Capabilities This year's Worldwide Developers Conference showcased innovation, particularly w/ the intro of Apple Intelligence. As we dive into the details here’s my take on the groundbreaking developments and how they might transform our interaction w/ tech Apple Intelligence: A New Era? Apple’s announcement of integrating Apple Intelligence into iOS 18, iPadOS 18 & macOS Sequoia is a new chapter in personalized tech Comprising various generative models this system adapts to user activities enhances tasks from writing texts to managing notifications, and more Four Things Stand Out: 1️⃣ Dual Models for Diverse Needs: The integration of a ~3 billion parameter on-device model and a more extensive server-based model is intriguing. The balance between on-device processing and cloud-based capabilities could set new standards for speed and privacy. 2️⃣ Commitment to Responsible AI: Apple’s outlined AI principles resonate deeply, especially their focus on user empowerment and privacy protection. The proactive approach to AI misuse and bias prevention is commendable. 3️⃣ Optimization Excellence: The reported improvements in model latency and efficiency on the iPhone 15 Pro are impressive. Apple’s use of low-bit palletization and quantization techniques could be game-changers. 4️⃣ Evaluating the Impact: The benchmarks shared show that Apple’s models not only perform well but are preferred by users over competing models. This human-centered evaluation approach is crucial for understanding real-world utility. Questions: How will this impact developers and creators? What are potential privacy concerns for end-users? How will these changes impact daily tech interactions? I’d love to hear your thoughts on these developments Here's the link to read more: https://lnkd.in/eGnWdimE #Ai #Future #Innovation #Technology #SocialNetworking

🚀 **Introducing Apple’s On-Device and Server Foundation Models** 🚀 At the 2024 Worldwide Developers Conference, Apple unveiled **Apple Intelligence**, a personal intelligence system integrated into **iOS 18, iPadOS 18, and macOS Sequoia**. This innovation leverages multiple advanced generative models designed to enhance user experience through specialized tasks like text refinement, notification summarization, and creating playful images for personal conversations. ### Key Highlights: 🔹 **Diverse and Specialized Generative Models:** Tailored for specific user activities, adaptable in real-time. 🔹 **Dual Model Approach:** A ~3 billion parameter on-device language model and a larger server-based model for efficiency and accuracy. 🔹 **Comprehensive Support:** Includes a coding model for Xcode and a diffusion model for visual expression in Messages. 🔹 **Responsible AI Development:** Upholds principles to empower users, represent diverse communities, design with care, and protect privacy. ### Responsible AI Principles: 1. **Empower Users with Intelligent Tools:** Respecting user autonomy. 2. **Authentic Representation:** Avoiding biases and authentically representing global users. 3. **Careful Design:** Considering potential misuse and harm, improving based on feedback. 4. **Privacy Protection:** Utilizing on-device processing and Private Cloud Compute. ### Technical Overview: 🔹 **Pre-Training with AXLearn:** Leveraging advanced parallelism techniques and rigorous data filtering. 🔹 **Post-Training Innovations:** Enhancing instruction-following with novel algorithms like rejection sampling fine-tuning. 🔹 **Optimization for Performance:** Advanced techniques ensure speed and efficiency. ### Performance and Evaluation: 🔹 **User-Centric Evaluation:** Benchmarking through human evaluations and adversarial testing. 🔹 **Superior Instruction-Following:** Outperforming comparable open-source and commercial models. 🔹 **Enhanced Writing Ability:** Leading in summarization and composition tasks. #Apple #WWDC2024 #AI #MachineLearning #iOS18 #Innovation #Technology #Privacy #ResponsibleAI

Apple's recent announcement at WWDC about Apple Intelligence has created an excitement in the tech community. The utilization of On-Device LLM inference is truly impressive and in sync with Apple's privacy and responsible AI policies. What stands out is the handful of remarkable optimizations applied to the foundation model and adapters, enabling the model to operate with an impressive latency of just 0.6 milliseconds per token. The incorporation of speculative decoding further elevates the results. Here are some key highlights from this innovative development: - Shared input and output vocab embedding tables - Implementation of low-bit palletization for on-device inference - Use of grouped-query-attention in both on-device and server models - Development of a new framework using LoRA adapters with a mixed 2-bit and 4-bit configuration strategy (3.5 bit per weight average) - Introduction of Talaria, an interactive model latency and power analysis tool, for bit rate selection guidance - Adoption of activation quantization and embedding quantization - Innovation in efficient Key-Value (KV) cache update on neural engines, which must be a custom kernel level optimization These optimisations signify a remarkable step forward in machine learning and artificial intelligence, setting new standards for efficiency and performance. Learn more about Apple's Foundation Models at https://lnkd.in/enwB3GJS. #Apple #WWDC #MachineLearning #ArtificialIntelligence #optimization #LLM

Introduction of Apple Intelligence (AI wink wink) marks a groundbreaking advancement in AI, enhancing Apple OSes. These powerful on-device and server-based models transform user experiences by refining text, summarizing notifications, creating images, simplifying app interactions and much more. With Apple’s overall focus on privacy and efficiency, Apple's new models are set to revolutionize how their vast user base interacts with technology. Learn more about it here: https://lnkd.in/g6qdcXmz #apple #wwdc #ai #ios18

“Apple Intelligence is designed with our core values at every step and built on a foundation of groundbreaking privacy innovations. Additionally, we have created a set of Responsible AI principles to guide how we develop AI tools, as well as the models that underpin them: Empower users with intelligent tools: We identify areas where AI can be used responsibly to create tools for addressing specific user needs. We respect how our users choose to use these tools to accomplish their goals. Represent our users: We build deeply personal products with the goal of representing users around the globe authentically. We work continuously to avoid perpetuating stereotypes and systemic biases across our AI tools and models. Design with care: We take precautions at every stage of our process, including design, model training, feature development, and quality evaluation to identify how our AI tools may be misused or lead to potential harm. We will continuously and proactively improve our AI tools with the help of user feedback. Protect privacy: We protect our users' privacy with powerful on-device processing and groundbreaking infrastructure like Private Cloud Compute. We do not use our users' private personal data or user interactions when training our foundation models.” #aiml #appleintelligence #wwdc2024 #apple #wwdc https://lnkd.in/g8bTreeP

🚀 Yesterday at WWDC, Apple showcased the future of AI inference: 📉 Smaller LLMs: These smaller language models pack a punch, offering robust AI capabilities without sacrificing performance through fine-tuning. 🔧 Model Evaluations with Talaria: Ensures high performance and resource efficiency. 🌟 LoRA Adapter and Low-bit Palletization: For highly efficient optimization. ⚡ Local Inference: Achieving an impressive 0.6 ms latency per prompt token and 30 tokens per second on the iPhone 15 Pro 🔒 Custom Foundation Model: built-in opt-out feature for web publishers enhances privacy and control in AI applications. 🔄 Adaptive Model Specialization: Models can now dynamically specialize for specific tasks without compromising core pre-trained parameters References : https://lnkd.in/e2HhSxcW Also, the security and privacy handled end to end check out this https://lnkd.in/ey62DQrb #WWDC #Apple #AI #MachineLearning #AIInference #FoundationModels #MLOPS

Apple's AI strategy is strong and sensible: the link below provides a clear description of their plans. Apple will rely on its own LLMs, fine-tuned for certain user experiences (+ low latency and on-device performance), rather than licensing 3rd party ones from, eg. OpenAI or Google. But it will refer people to these other LLMs for use cases which they are more suited for. Good ecosystem management strategy!

Last year, Apple released open-source tools for training and inference on Apple silicon. Yesterday, they provided more details about their models running on Apple silicon. While Apple's on-device models currently lag behind GPT-4 in performance, their strategy of leveraging the computing power in personal devices offers numerous advantages, potentially leading to low latency and high energy efficiency. Utilizing the processing capabilities of personal devices incurs no additional cost for Apple and ensures data remains on the device. Even the relatively low costs of using OpenAI models can accumulate over time and block some use cases. It remains to be seen whether Apple's on-device models will become sufficiently advanced for widespread applications.

OpenAI kicked off this year’s DevCons, and on Monday, June 10th, we’ll have WWDC bookending with something Absolutely Incredible — wonder what the A and I imply?! Apple promises it will be Action Packed. At Emergent, we are focused on helping enterprises make sense of this AI moment. And, as much as Apple is THE consumer tech company, their product announcements ripple through tech broadly.  (Just ask the Ads industry – with new fears about the Web Eraser.) We’ve been speculating about what the breadcrumbs and rumors WWDC will yield, particularly for enterprises. Here’s what we’re expecting: 1. Apple Intelligence: An AI system across all of Apple’s apps, including developer apps, with opt-in. It will only be available on new devices, with latest Apple Silicon, sparking a massive upgrade cycle. With Apple Intelligence, we could see AI products entering the mainstream.  2. Privacy-safe LLM: Imagine a hybrid cloud / on-device approach, LLMKit if you will. While Satya may have beaten Apple to the punch with Copilot+ PCs, Apple providing some LLM inference capabilities with pre-baked models in iOS & MacOS would be a godsend for iOS developers. This would unlock more capabilities without spending a fortune on H100s from Nvidia. But, the catch could be more stringent controls on data collection for training & inference. 3. Xcode Copilot: We’re converts. We love VS Code with GitHub Copilot, and it’s a no-brainer for Apple to offer developers a similar productivity boost within Xcode. And, oh, one more thing: a new Siri. Maybe this time she’ll be voiced by ScarJo — properly licensed and all. What do you all think? Share your thoughts! We’ll follow up after WWDC to see how accurate our predictions were and to review any surprises. #WWDC #Apple #AI

🚀 Very proud to have contributed to Responsible AI efforts for Apple Intelligence 🍎! Looking forward to seeing the new horizons of creativity and productivity that will be unlocked by these innovative GenAI features, and grateful to be a part of such a talented and dedicated team that not only pushes the boundaries of technology, but is constantly redefining them, with privacy and safety top of mind. Learn more about Apple's responsible AI principles here: #AppleIntelligence #TechInnovation #TeamApple #ResponsibleAI #WWDC24