Обучение ИИ созданию баз данных с помощью подкастов и документов

I would be excited to dig around in whatever database this ufo AI has. That would be a great tool. I hope it does a good job of labeling the speculation vs what the person being interviewed states as fact.

Interesting, i’ve been working on a related project for chatting with UK sighting data converting the reports and some generated meta fields into a vector embedding with a sentence transformer and then doing semantic search.

For example a natural language query would be «Sightings that involved circular craft» and it would return records it determines to be semantically relevant (it would return say a description with circle/saucer/circular instead of just a keyword search for circular). Currently prototyping using an open source LLM (I’m using Wizard LM 7b) to infer filter commands and running them on the returned data from the initial query, this is running locally without an internet connection which is pretty cool.

Interested in seeing where the project in the OP goes, i think i would be worried about hallucinations or muddied responses if training a new model (i think in this case fine tuning is more applicable).

I hope you have enough proofreaders to go over those transcribed podcasts, AI transcription can misunderstand spoken words (everyone who ever turned on automatic captions on YT knows what I’m talking about)