Sure have. LLMs aren't intrinsically bad, they're just overhyped and used to scam people who don't understand the technology. Not unlike blockchains. But they are quite useful for doing natural language querying of large bodies of text. I've been playing around with RAG trying to get a model tuned to a specific corpus (e.g. the complete works of William Shakespeare, or the US Code of Laws) to see if it can answer conceptual questions like "where are all the instances where a character dies offstage?" or "can you list all the times where someone is implicitly or explicitly called a cuckold?" And sure they get stuff wrong but it's pretty cool that they work as well as they do.
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