Applied GenAI

goals:

Identify valuable GenAI use cases: Explore how GenAI can be applied to various tasks in finance, such as risk management, customer service, compliance, and investment analysis.
Develop open-source tools and models: Contribute to the development of open-source models, tools, and frameworks that can be used by the financial services community.
Promote responsible AI: Address ethical considerations, bias mitigation, and explainability in model development and deployment.
Foster collaboration: Encourage collaboration between financial institutions, technology providers, and researchers to accelerate LLM adoption and innovation.

Use Case Exploration: Identify and prioritize promising use cases for GenAI in finance. This includes:
- Financial document analysis and understanding
- Regulatory compliance
- Risk management
- Customer service and engagement
Prototype Development: Develop prototypes and proof-of-concepts to demonstrate the feasibility and value of GenAI applications.
Open Source Contributions: Contribute to existing open-source Gen AI projects or create new open-source tools and models.
Community Building: Organize workshops, hackathons, and other events to foster collaboration and knowledge sharing.
Research and Development: Conduct research on model capabilities, limitations, and best practices for deployment in finance.