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CALSCALE:GREGORIAN
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UID:event-708@builderloo.ca
DTSTAMP:20261025T144256Z
DTSTART:20261110T223000Z
DTEND:20261111T013000Z
SUMMARY:Engineering inference with ihsan. | Pillars Network x Shaghf Café 
 ($)
DESCRIPTION:Registration required\, and the host approves each one: https:/
 /luma.com/qi8zjrv8\n\nOn Builderloo: https://builderloo.ca/events/708-engi
 neering-inference-with-ihsan-pillars-network-x-shaghf-cafe\n\nWhat context
  are you drawing on when you make life's biggest decisions?\n\n​​About
  the event\n\nYou’ve watched a coding agent read your files and fix its 
 own mistakes.\n\nYou’ve also watched it spin for thirty seconds before s
 aying anything at all.\n\nSo what’s actually happening underneath?\n\nJo
 in Pillars Network for an evening that opens up the AI machines you use ev
 ery day\, and asks what it can teach us about the decisions we make as Mus
 lims.\n\nDanial Hasan will kick off the night by taking you from the agent
  on your screen to the infrastructure behind it. He’ll connect applied A
 I (how agents and their harnesses are built) with inference engineering (h
 ow the tokens powering them actually get delivered).\n\nThen Hassam Munir\
 , Islamic historian and educator\, turns inference back on us. He will tak
 e us through how past generations navigated new technologies and innovatio
 ns\, what they drew on when the answer wasn’t obvious and what it means 
 for a generation now facing AI.\n\nBecause a model is only as good as what
  it was trained on.\n\nSo are we.\n\nYour ticket includes admission to the
  event and one drink from Shaghf Café.\n\n​​Who is this event best-su
 ited for?\n\nThis session is one of our more technical events\, designed f
 or those who want to go deeper into how AI systems work beneath the surfac
 e. Priority will be given to applicants with a computer science or enginee
 ring background and hands-on experience building with AI.\n\nTo get the mo
 st out of it\, you should already use coding agents like Cl
LOCATION:Register for meeting location
URL:https://luma.com/qi8zjrv8
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