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Vero-Ventures/business-charter

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Project Description

This project aims to develop a custom Large Language Model (LLM) to assist business owners and families in crafting a "Corporate Charter." The LLM will guide users towards a unified vision, mission, values, and philanthropic goals.

Traditional Approach:

  • Specialized advisors traditionally handle this process.

Proposed Solution:

  • The LLM will replace the advisor role by:
    • Employing probing questions to uncover stakeholders' or family members' underlying values and goals.
    • Compiling these findings into a cohesive charter document for review and agreement.
    • Allowing users to edit and refine the charter collaboratively.

Technical Approach:

  • The LLM will leverage existing LLM APIs, fine-tuned on relevant business literature and regulations.
  • Users will interact with the LLM through a progressive web app interface.

Programming Language(s)

  • AI/ML Components: Primarily Python
  • Progressive Web App Interface: Typescript

Hardware/Software Requirements

  • Programming Languages: Python, Typescript
  • Libraries/Frameworks:
    • PyTorch for deep learning
    • Selenium for web scraping (potentially)
    • Pandas for data manipulation
    • Other AI/ML libraries as needed
  • APIs: Existing LLM APIs for model interaction
  • Tools:
    • IDE for development
    • Code interpreter
    • Web browser for research
    • Potentially DevOps tools for CI/CD (continuous integration and deployment)
  • Computational Resources: Local AI/ML server with high computational power for training, development, and deployment of the LLM.

Current Work/Arrangement

  • Currently, charters are developed through consultations with family offices or specialized advisors.
  • This project proposes automating and enhancing this process using an LLM.

Technical Implementation:

  • The development will focus on Python and Typescript.
  • Data science, machine learning libraries, and LLM APIs will be used to create the LLM's questioning pipeline and charter compilation functionalities.