Erman July 16, 2024

Erman August 6 2024

ML- image processing in the future, working with LLMs

• ML- doing okay

  • Tailored experience, lacking

    • Do own ML workflows within Airth’ss

    • Parametrizing, sending own custom parameters

    • When a big clients does some specific data,

      • What do
      • What is the solution

    • Graph Neural Netowrok

      • Don’t have previous experience
      • If use LLMs
        • doing on Sagemakers
        • Taailing machine learning

    • Palantir- dynamic ontology

      • Want to tie with GNN around ai agent copilit
      • Large Action Model
      • System should find best possibilities to end users
      • create an AI agent this the ultimate goal

      1. business context dynamic ontology + GNN

      2. Large action models for Airth COpilto + Earth Core- can do with lang chain

      Graph Rag—> or LangChain Graph

    Deep dive into the content

    Another Use Case

    • Further steering

    Regular Design Sessions

    Office Hours

    Sprint REviws and Sprint Planning

    • Airth’s team

Erika - Chief of

Erik Anderson- Portfolio Side

Ege- AI ML engineer/lead in the team