I've been deeply focused on how we can bridge the gap between abstract LLMs and personal context. The goal is an AI that doesn't just answer questions, but understands my active projects, my calendar, and my codebase.
Currently exploring local inference models (like Llama 3) connected through a unified memory architecture using Retrieval-Augmented Generation (RAG).
The biggest challenge isn't intelligence; it's context delivery latency.