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About this paper
Saba Asaad, Ali Bereyhi
The authors present a framework for selecting financial AI according to a task’s information, reasoning, and workflow needs. Statistical and deep-learning models fit stable predictions, foundation models handle language, retrieval-augmented generation (RAG) supplies current external information, and agentic systems coordinate multistep work. Their examples match tools to tasks, but the survey reports no comparative tests proving those matches optimal.
Summary by alphaXiv.
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