Moving LLMs to the Edge: Building a Private AI Study Companion with Llama 3

Moving LLMs to the Edge: Building a Private AI Study Companion with Llama 3 Most AI tutors are just wrappers around an API. When my teammate Ahmed Mohammed Ayaan Adil and I sat down to build Brain Dump , we wanted to solve two specific problems: the stateless nature of current AI tools and the high cost/privacy concerns of cloud-based learning. 🧠 The Core Concept: The "Living Knowledge File" Instead of just chatting, Brain Dump acts as a distillation engine . It converts messy, long-form learning conversations into a structured, personal Knowledge File . Think of it as your brain’s notes, but automatically organized and refined by AI as you learn. It doesn't just "forget" the context after a session; it builds a persistent map of what you actually know. 🛠️ The Tech Stack We focused on local execution to keep the data where it belongs—with the user. The Orchestrator: FastAPI and LangChain. The Hardware Edge: Optimized for NPU (Neural Processing Unit) integration to offload LLM tasks fro