BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal//recurring_events_ical//2.0//EN
BEGIN:VEVENT
UID:9c4c19c4-16b8-40ad-91a5-cda31e8cb35b@support.access-ci.org
DTSTAMP:20260825T134121Z
DTSTART:20260911T190000Z
DTEND:20260911T220000Z
SUMMARY:Looping the AI Lifecycle: Automated Training and LLM-Driven Evaluat
 ion via Tapis v3
DESCRIPTION:This tutorial provides researchers with a comprehensive, hands-
 on introduction to advanced, reproducible Machine Learning (ML) workflows 
 using the production-grade services of the Tapis v3 platform and ACESS Sys
 tem TACC Vista. Focusing on the complete machine learning engineering pipe
 line, participants will learn how to "loop" the AI lifecycle by orchestrat
 ing automated model training and executing sophisticated, LLM-driven evalu
 ations directly on distributed computational resources. Through practical,
  step-by-step exercises, we will demonstrate how to seamlessly manage infr
 astructure using the Tapis Application Programming Interface (API) and the
  intuitive Tapis User Interface (UI). The session will deeply emphasize th
 e integration of various Tapis core capabilities alongside specialized ser
 vices, specifically launching Tapis jobs for automated training and FlexSe
 rv for LLM inferencing to build distributed reproducible scientific AI wor
 kflows. By the end of this tutorial, researchers and engineers will be ful
 ly empowered to efficiently develop, deploy, evaluate, and maintain automa
 ted AI lifecycles within their own research paradigms.  
URL:https://support.access-ci.org/events/9230
END:VEVENT
END:VCALENDAR