Practical AI Solutions for Your Business
Large Language Models (LLMs) have shown exceptional performance in various tasks, but integrating structured and free-text data has been a challenge. Researchers at Stanford have introduced SUQL, a formal query language for combining structured and unstructured data, which offers practical solutions and value for businesses.
Key Features of SUQL:
- Enables querying both structured and free-text data sources
- Empowers complex queries with off-the-shelf retrieval models and LLMs
- Outperforms existing models in accuracy and efficiency
Benefits for Your Company:
- Enhanced customer interaction through AI automation
- Measurable impacts on business outcomes with defined KPIs
- Customizable AI solutions tailored to your business needs
- Gradual implementation for sustainable AI usage and impact
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Explore More
Check out the Paper, Github, and Demo of the SUQL project. For more details about the research, visit MarkTechPost.
