Interdisciplinary Engineering Solutions Through the use of Large Language Models

Mar 15, 2024
LLMs for interdisciplinary engineering solutions

This project aims to explore the potential of Large Language Models (LLMs) in providing innovative solutions across various engineering sub-disciplines. By analyzing the capabilities of LLMs in addressing complex problems in fields such as mechanical, electrical, and transportation engineering, the study seeks to understand how these models can facilitate interdisciplinary collaboration and enhance problem-solving efficiency in engineering practice. For further details, please check out:

ControlBench: https://agi4engineering.github.io/LLM4Control/

TransportBench: https://agi4engineering.github.io/TransportBench/

LLMs for Engineering
Usman Ahmed Syed
Usman Ahmed Syed

Publications

Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors
In this paper, we explore the capabilities of state-of-the-art large language models (LLMs) such as GPT-4, GPT-4o, Claude 3.5 Sonnet, …
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Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra
In this paper, we explore the capabilities of state-of-the-art large language models (LLMs) such as GPT-4, Claude 3 Opus, and Gemini …
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