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/u/Particular-Welcome-1

Update on my February posts about replacing RAG retrieval with NL querying — some things I’ve learned from actually building it

A couple of months ago I posted here (r/LLMDevs, r/artificial) proposing that an LLM could save its context window into a citation-grounded document store and query it in plain language, replacing embedding similarity as the retrieval mechanism for rea…

I built a Claude system prompt that automatically populates NotebookLM notebooks

I've been using NotebookLM heavily for research and got tired of manually hunting down and adding sources. So I wrote a system prompt that hands the whole process off to Claude. When you give it a topic, Claude starts by creating the notebook and d…

LLMs as Cognitive Architectures: Notebooks as Long-Term Memory

LLMs operate with a context window that functions like working memory: limited capacity, fast access, and everything "in view." When task-relevant information exceeds that window, the LLM loses coherence. The standard solution is RAG: offload…

~Realtime speech2speech?

Hello, My wife was doing some DMing, and one of her players gave her some feedback about her presentation being less than "enthusiastic". This got me thinking, could AI be used to make her always sound "on" when she's DMing? The…