Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array
<|reference_start|>Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array: Large language models (LLMs) have made headlines for synthesizing correct-sounding responses to a variety of prompts, including code generation. In this paper, we present the prompts used to guide ChatGPT4 to produce a synthesizable and functional verilog description for the entirety of a programmable Spiking Neuron Array ASIC. This design flow showcases the current state of using ChatGPT4 for natural language driven hardware design. The AI-generated design was verified in simulation using handcrafted testbenches and has been submitted for fabrication in Skywater 130nm through Tiny Tapeout 5 using an open-source EDA flow.<|reference_end|>
@article{tomlinson2024designing,
    title={Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated
  Description of a Spiking Neuron Array},
    author={Michael Tomlinson, Joe Li, Andreas Andreou},
    journal={arXiv preprint arXiv:2402.10920},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.10920},
    primaryClass={cs.AR cs.AI cs.ET}
}