Local-First AI: Building Your Own Private Assistant with TinyLlama

As cloud privacy concerns grow, locally-run AI assistants represent a critical shift in how users maintain control over their data. This project demonstrates the viability of Edge AI using TinyLlama, showing that practical privacy-first alternatives are increasingly feasible. With advancing silicon and optimization techniques, local-first AI could fundamentally reshape the AI assistant landscape, enabling computational power directly in users' hands without cloud dependency.