Circuit Design through Large Language Models and Reinforcement Learning

I recently graduated with my Master’s from MIT. I worked with the MIT IBM Watson AI lab and MIT Energy-Efficient Circuits Lab. My project focused on using Large Language Models (LLMs) to improve the design process of Analog Integrated Circuits. In my thesis, I propose a method that uses the power and knowledge of LLMs to guide the training of a reinforcement learning algorithm.

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Reserach

Throughout my time at MIT, I have been conducting research in a variety of labs.

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