TOPIC 1

Build AI/ML Android Apps

Get Started running your ML and AI workloads on Arm Cortex CPUs.

 

ExecuTorch for On-Device AI

Get Started with AI and ML on Unity with Unity Sentis and ML Agents

  • A series of videos, learning paths, blogs and tutorials on how to bring AI and ML into your Unity project on Arm-based mobile devices.

Google’s AI Edge’s Mediapipe Acceleration on Arm-Based Android

Get Started with OpenCV on Android

TOPIC 2

Build GenAI Android Apps

Learn how to quantize neural network (NN) models and run large language models (LLMs) on mobile.

 

Build an Android Chat App with Llama and ExecuTorch

  • A get-started guide to learn how to set up ExecuTorch and quantize models without sacrificing significantly the model accuracy.

GenAI on Arm Cortex CPUs

  • A blog covering a virtual assistant demo, which first used Meta’s Llama2-7B on mobile via a chat-based app, and has since expanded to include the Llama3 model and Phi-3 3.8B.

NN Model Quantization

  • A blog covering the use of quantization for neural network (NN) models, which is critical for deploying GenAI models on mobile devices and edge platforms.
TOPIC 3

Accelerate GenAI, AI, and ML

Accelerate your AI/ML framework, tools, and cloud services with open-source Arm libraries and optimized Arm SIMD code.

 

Arm Kleidi

  • Arm Kleidi open-source libraries are a lighter weight performance library than ACL for accelerating AI and ML workloads and frameworks.

Arm KleidiAI

  • Explore KleidiAI’s initial features and follow the step-by-step guide to running one of its critical functions for accelerating the Gemma LLM.

Arm KleidiCV

  • The KleidiCV library is designed for image processing and integrates into any CV framework to enable optimum performance for CV workloads on Arm.

Arm SIMD-Extensions

  • Optimize your AI/ML workloads with Arm SIMD code, either in assembly or using Arm Intrinsics in C/C++, to leverage huge performance gains.

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Ben Clark

Ben Clark is an Arm Staff Software Engineer and developer advocate, researching and publishing the best use of Arm technologies in consumer devices. He has a graphics background and a keen interest in machine learning.

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