In tests, all baselines achieved no more than 20% accuracy, while table-augmented generation did far better with 40% or better accuracy.
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AI,Business,Data Infrastructure,AI, ML and Deep Learning,category-/Science/Computer Science,Conversational AI,conversational querying,Data Management,data retrieval,Data Storage and Cloud,dataset querying,language models,natural language querying,NLP,retrieval augmented generation,Retrieval-augmented generation (RAG),SQL,table augmented generation,text-to-sql
retrieval augmented generation