Authors: Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo

Published on: January 27, 2024

Impact Score: 8.07

Arxiv code: Arxiv:2402.01728

Summary

• What is new: The introduction of Hardware Phi 1.5B, a large language model specifically tailored for the semiconductor industry.
• Why this is important: The complexity of hardware-specific issues not covered by existing models and the lack of domain-specific datasets.
• What the research proposes: Developing Hardware Phi 1.5B using a specialized, tiered dataset approach for the semiconductor industry.
• Results: Improved performance in hardware design and verification tasks within the semiconductor sector.

Technical Details

Technological frameworks used: Large Language Models (LLMs)

Models used: Hardware Phi 1.5B

Data used: Specialized, tiered hardware domain datasets

Potential Impact

Semiconductor industry, hardware design and verification sectors

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