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Found 2 papers, 1 papers with code
Natural Language to Verilog: Design of a Recurrent Spiking Neural Network using Large Language Models and ChatGPT
This paper investigates the use of Large Language Models (LLMs) for automating the generation of hardware description code, aiming to explore their potential in supporting and enhancing the development of efficient neuromorphic computing architectures.
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.
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