Earlier quoted context omitted.
I had a similar realization recently. I plugged my blog post(1) two days ago and I am doing it again now so I will try and refrain for a while, but it really sticks with me: after trying to create a chat bot for a while, I feel like I have gained significant insights into how humans work. It all seems so simple now! It's a weird and awesome feeling! 1) [link redacted]
> To address this, I implemented a strategy of tagging messages to create and utilize categories. I think before RAG we need to do more legwork with the LLM on the raw text. Here is one of my blog posts that is related: https://mindmachina.wixsite.com/ai-blog/post/the-promise-of-... The idea is to create chain-of-thought annotations from your raw texts, that would improve the embedding and retrieval process by making…
I think a lot about the cost of the loop, mostly in terms of time. I don't want the bot to take too long to respond. That's why dream cycles seem like an obvious solution to some of the more heavy work. I guess it would make sense to combine those with your idea -- "given what I know about the user, what should I study?", especially if it has access to an "enhanced" knowledge db like you suggest..