Training natural language model using user's knowledge base

I don’t know a lot about how natural language processing works and how models are trained but I wanted to share anyway because I thought this could be a game changer for obsidian especially as a tool marketed as a second brain. It would be great if a natural language model can be trained using one’s knowledge base from the md files stored in their vault and then an AI can respond to any questions the user asks based on that knowledge.

I think this would be the ultimate and most effective method for information retrieval and it could also allow users to identify creative links between their ideas that might otherwise not have come to notice.

2 Likes

Instruction on the second brain using CHATGPT was offered by Kristián. How to 10x Productivity with AI: Building a Second Brain with GPT-3

A post was merged into an existing topic: AI Assisted Q&A / Chatbot / Generation