Summary:
- This article is a curated list of resources related to local AI, which refers to AI models and systems that run on local devices rather than in the cloud.
- It includes information on open-source tools, libraries, and frameworks for building and deploying local AI applications, such as TensorFlow Lite, PyTorch Mobile, and EdgeTPU.
- The article also provides links to tutorials, case studies, and best practices for developing and optimizing local AI solutions for various use cases, such as edge computing, IoT, and mobile devices.