Run Your Own AI from Your iPhone Using Runpod

Access to AI on mobile devices has advanced beyond built-in assistants like Siri, with the introduction of cloud-based open-source large language models (LLMs) that can be personalized and run on devices such as the iPhone through platforms like Runpod. This tutorial guides users through deploying an AI model on Runpod without needing to code, using tools like Ollama and the iPhone's Shortcuts app to facilitate interaction with the model. By setting up a PyTorch template on Runpod, installing Ollama, and configuring the Shortcuts app, users can communicate with their personalized AI by speaking into their phones and receiving responses. This process enables users to interact with sophisticated models without the need for app development, highlighting the potential for further customization and enhancement through features like access tokens, trying different models, and fine-tuning capabilities.