On Thu, Nov 28, 2024 at 10:40:59AM +1000, Warren Toomey via COFF wrote:
> I was just trying to find out if there was a way of uploading the TUHS
> mailing list as a corpus of text into a LLM so that I could ask questions
> based on the knowledge contained therein. I'm not having much luck yet.

Steve Jenkin pointed me at Google's NotebookLM. I took the first 1M (of 137M)
of the TUHS mailing list mbox, filtered out most of the headers and fed it in.

It seems to do a good job of summarising the contents and responding to
questions. Here's a link:

https://notebooklm.google.com/notebook/eca37b7c-dfbd-4346-bdaa-2cc038087fb9?_gl=1*dqtpyz*_ga*NTgzOTM5MzU2LjE3MzMxMDY0NzU.*_ga_W0LDH41ZCB*MTczMzEwNjQ3NC4xLjEuMTczMzEwNjQ5OS4zNS4wLjA.&original_referer=https:%2F%2Fnotebooklm.google%23&pli=1

What's weirder is you can generate a 30-minute dialogue where two AI entities
talk about the content. There's a lot of verbal diarrhoea, but here is the
link if you feel like listening to it :-)

https://notebooklm.google.com/notebook/eca37b7c-dfbd-4346-bdaa-2cc038087fb9/audio

Cheers, Warren