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this post was submitted on 27 Apr 2026
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From what I understand from the sales brochure, these types of "AI" that are modeled on highly curated data are far less prone to hallucinations.
I doubt it's fine-tuned, it's likely just one of the open-weight LLMs with RAG. I've done similar things, and they don't really work as well as I'd like (the most relevant chunks of text aren't always ranked the highest/have the least embedding distance, and the models still hallucinate sometimes).