Next-generation AI, particularly through the use of large language models (LLMs) and tools like Microsoft AutoGen and GPT-4, can revolutionize engineering simulations by enabling conversational agents to solve complex problems with minimal human input. These agents collaborate to perform tasks such as planning, problem formulation, writing, debugging, and executing codes, thereby simplifying the use of tools like finite element analysis (FEA) and computational fluid dynamics (CFD). The approach showcases the potential to automate and enhance the accuracy of engineering processes.
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