Generative AI Paper Reading: VisRAG: Vision-based Retrieval-Augmented Generation
Details
Join us for an engaging paper discussion on "VisRAG: Vision-based Retrieval-Augmented Generation on Multi-Modality Documents," exploring innovative approaches to handling visual and textual information in document processing.
Featured Paper Link:
VisRAG: Vision-based Retrieval-Augmented Generation on Multi-Modality Documents" (2023)
## Key Technical Components
Document Understanding
- Novel vision-language framework for processing multi-modal documents
- Integration of visual and textual information retrieval
- Advanced document layout analysis capabilities
Technical Architecture
- Vision-language foundation model implementation
- Multi-modal retrieval mechanisms
- Cross-modal attention mechanisms
## Discussion Topics
Multi-Modal Processing
- Understanding VisRAG's approach to document analysis
- Examining the integration of visual and textual elements
- Exploring cross-modal retrieval strategies
Practical Applications
- Document processing in real-world scenarios
- Performance comparisons with existing solutions
- Implementation considerations and challenges
Future Implications
- Impact on document processing systems
- Potential industry applications
- Integration possibilities with existing workflows
Silicon Valley Generative AI has two meeting formats.
1. Paper Reading - Every second week we meet to discuss machine learning papers. This is a collaboration between Silicon Valley Generative AI and Boulder Data Science.
2. Talks - Once a month we meet to have someone present on a topic related to generative AI. Speakers can range from industry leaders, researchers, startup founders, subject matter experts and those with an interest in a topic and would like to share. Topics vary from technical to business focused. They can be on how the latest in generative models work and how they can be used, applications and adoption of generative AI, demos of projects and startup pitches or legal and ethical topics. The talks are meant to be inclusive and for a more general audience compared to the paper readings.
If you would like to be a speaker please contact:
Matt White