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X-WR-CALNAME:Own Your AI: Build an Agentic AI Model Factory - in person Hac
 k Night
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
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UID:event-imf5r5xh@ontown.app
DTSTAMP:20261008T203831Z
DTSTART:20261104T010000Z
SUMMARY:Own Your AI: Build an Agentic AI Model Factory - in person Hack Nig
 ht
LOCATION:San Francisco\, United States
DESCRIPTION:AI Builders and Learners SF\nBuild a Sovereign AI Model Factory
 : Create an ML Engineer Agent that evaluates\, fine-tunes\, deploys\, and 
 improves open models using Union.ai on your cloud.\n\nYOU MUST RSVP ON LUM
 A: https://luma.com/uyo6mgp7\n\n​The best AI teams aren't renting every 
 capability from an external API\, they're building systems they own and co
 ntrol. In this hands-on session at the AWS Loft\, we'll build exactly that
 .\n\n​We'll start with a walkthrough where we build a LangGraph-powered 
 agent that evaluates open models in parallel\, fine-tunes promising candid
 ates\, deploys the winner\, and retrains automatically when performance dr
 ops.\n\nThink of it as the first brick in your own model factory: a repeat
 able system for evaluating\, improving\, and deploying models you control\
 , not a black box you call and hope for the best.\n\n​Along the way\, yo
 u'll see how Union.ai (https://union.ai/?utm_source=luma) gives your workf
 lows a durable runtime with infrastructure as context\, so agents adapt in
 fra resources\, recover from failures\, and keep moving without re-running
  completed work. And because it all runs in your own AWS account\, you own
  the full stack end to end: your models\, your data\, your infrastructure\
 , your IP.\n\n​Then we switch into hack night mode: keep building on the
  example\, bring your own models or datasets\, experiment with evals and f
 ine-tuning\, extend open models to different parts of your agent\, or star
 t something new around the same ideas.\n\n​For teams thinking about sove
 reign AI\, this is a practical starting point for owning more of your stac
 k\, the weights\, the training loop\, the evals\, and the infrastructure i
 t runs on\, all on AWS.\n\n​Bring a laptop. Leave with a model factory.
URL:https://ontown.app/e/imf5r5xh-own-your-ai-build-an-agentic-ai-model-fac
 tory-in-person-hack-night/
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