Summary of An Overview Of Domain-specific Foundation Model: Key Technologies, Applications and Challenges, by Haolong Chen et al.
An overview of domain-specific foundation model: key technologies, applications and challenges
by Haolong Chen, Hanzhi Chen, Zijian Zhao, Kaifeng Han, Guangxu Zhu, Yichen Zhao, Ying Du, Wei Xu, Qingjiang Shi
First submitted to arxiv on: 6 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper provides a comprehensive overview of building domain-specific foundation models, which are tailored to specific industries or application scenarios. The customization process addresses limitations of general-purpose models, capturing unique patterns and requirements of domain-specific data. The authors introduce basic concepts, outline the architecture, and survey key methods for constructing domain-specific models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper highlights various domains that can benefit from these specialized models, discussing challenges ahead. It aims to provide valuable guidance and reference for researchers and practitioners from diverse fields to develop their own customized foundation models. |
