* People * David * Idea * For a given set of local LLM models that a set of users (or community) wants to use - what is the best/easiest way to serve it (based on ease of use, speed of processing and generation, and features like multi-context and * Details * Engines like llama.
* People * David * Idea * Use LangGraph workflows and nodes to collect and process QB export data in comparison to Po'owai DB export rows to generate annotated matching ids (focused on people, funding sources, and projects) * Details * LangGraph agentic workflows * Node-based Quickbooks Desktop Web Connector client * LangChain adapters for reasoning
Ref Link: Ola Participant Handbook Theme Between the first and second sessions, leaders will deepen their leadership journey with an executive coach before embarking on a transformative exploration in the second gathering, drawing inspiration from the saga of Hiʻiakaikapoliopele and using traditional and modern mixed art methods to visually articulate
Ref Link: Ola Participant Handbook Theme ʻO nā hōkū nō nā kiu o ka lani—The stars are the spies of heaven! This immersive experience, blending land and water, allows leaders to learn both practical and metaphorical lessons from kānaka who sailed on Hōkūleʻa and Hikianalia, honing evaluative, analytical, and
Ref Link: Ola Participant Handbook Theme LEADING SELF: UNEARTHING LAYERS OF OUR IDENTITY THRU KINOLAU Participants will embark on a leadership journey by sharing artifacts that represent their identity, making lau lau to explore leadership connections, and immersing in the stories of Nāonealaʻa and Laʻamaikahiki to deepen their sense of