This literature review explores the evolution of multi-agent systems powered by large language mo... more This literature review explores the evolution of multi-agent systems powered by large language models (LLMs), highlighting their design, progress, and economic impact. From rule-based frameworks to advanced AI-driven systems, these models leverage autonomous agents for collaborative problem-solving across industries like healthcare, finance, and materials science. Specialized frameworks, such as AutoGen and LangChain, enable dynamic adaptability and enhanced efficiency. Despite their transformative potential, challenges remain, including high costs and scalability constraints. Multi-agent LLMs are reshaping industries, driving innovation, and redefining economic landscapes.
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Papers by Wael Gharbi