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Perhaps it would be interesting to assess the accuracy of the results for a few prompts manually. We can write it up in a blog and link that with the warning that will display (something like "The chatbot may produce incorrect advice. Please use with caution. In [this] blog post we identify some ways in which the chatbot may fail to give a correct answer."). Though that should certainly be its own issue.
Crawl OpenML documentation pages and use RAG to build an LLM that can answer openml-related questions correctly.
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