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Demonstrating how CrewAI's agent structure, function calling, and prompt engineering enable LLMs to handle quantitative data without direct processing efficiently.
LLMs cannot do quantitative reasoning, however, by using CrewAi’s agent structure, this problem can be overcome by using function calling and prompt engineering. Quantitive data can be processed without the LLM ever having to process the data directly. CrewAi makes this possible through its Crews, Vector database, and LangChain.
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