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).
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The problem is likely exponential. Technically, some optimization algorithms like genetic algorithms are "AI." I could see them also doing something like AlphaGo (predictive model + monte-carlo tree search).