(Post-WIP) How to evaluate inference engines

* People * David * Idea * For a given set of local LLM models that a set of users (or community) wants to use - how do you measure performance/UX on ways to serve it (based on ease of use, speed of processing and generation, level of accuracy, and features like multi-user-context

(Post-WIP) Comparing LLM inference engines (multi-user and multi-model)

* 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.

(Post-WIP) LangGraph Agentic spreadsheet matching/cleanup

* 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

OLA - Mar. 28th - Leading Self: Huakaʻi Of The Ecological Self

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

OLA - Feb. 28th - Leading in Community: Wayfinding

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