Language model research has advanced rapidly, particularly in specialized fields like finance. Large Language Models (LLMs) face challenges such as high computational costs and the risk of producing inaccurate information. Vanguard IMFS introduced the Mixture of Agents (MoA) framework, featuring a network of small, specialized models designed for Retrieval-Augmented Generation tasks. The MoA system has shown significant improvements in response quality and efficiency, proving to be cost-effective and scalable for large-scale financial applications.
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