Beyond the Cloud: Building a Privacy-First Research Assistant with Gemini Nano and On-Device RAG

The article discusses the shift from cloud-first AI to device-centric AI, where AI models run on the user's hardware for better privacy and lower latency. Google's Gemini Nano and AICore enable this transition by providing efficient AI models and a system-level abstraction layer. Developers should use these tools to build on-device GenAI, avoiding the pitfalls of large LLM binaries in their APKs. This requires a new approach to resource management, considering hardware constraints like RAM, battery life, and thermal throttling.