Towards Large-Language Model Assisted Layout of Silicon Photonic Integrated Circuits

被引：0
|
作者：
Liu, Jason [1 ]
Sharma, Ankita [1 ,2 ]
Doumbia, Cheick [1 ]
Poon, Joyce K. S. [1 ,2 ]
机构：
[1] Univ Toronto, Dept Elect & Comp Engn, 10 Kings Coll Rd, Toronto, ON M5S 3G4, Canada
[2] Max Planck Inst Microstruct Phys, Weinberg 2, D-06120 Halle, Germany
来源：
25TH EUROPEAN CONFERENCE ON INTEGRATED OPTICS, ECIO 2024 | 2024年 / 402卷
关键词：
large language models; silicon photonics; chip design and layout;
D O I：
10.1007/978-3-031-63378-2_72
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Recent breakthroughs in artificial intelligence (AI), especially large language models (LLMs) are revolutionizing the automation of complex language-based tasks. Here we report a software tool under development that uses the Llama2-70B language model for automating the layout of silicon photonic devices. Preliminary tests demonstrate the tool's effectiveness in accurately generating code to layout a single device from a natural language prompt.
引用
收藏
页码：441 / 447
页数：7
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