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VERSION:2.0
PRODID:-//LatentShift//latentshift.ai schedule//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:LatentShift · Removing the Human Bottleneck in Model Fine-Tun
 ing/Pre-Training with RLAIF
X-WR-TIMEZONE:Europe/Istanbul
REFRESH-INTERVAL;VALUE=DURATION:PT12H
X-PUBLISHED-TTL:PT12H
BEGIN:VEVENT
UID:ed01-rlaif-ile-model-finetuning@latentshift.ai
DTSTAMP:20261007T125617Z
DTSTART:20261017T082000Z
DTEND:20261017T090000Z
SUMMARY:LatentShift · Removing the Human Bottleneck in Model Fine-Tuning/P
 re-Training with RLAIF · Alican Kiraz
DESCRIPTION:Long talk · 40 min · Turkish\n\nAlican Kiraz · Sr. Staff Eng
 ineer - AI/ML & Agentic AI\, Trendyol\n\nTurkish Sign Language (TİD) inte
 rpretation.\n\nWith Reinforcement Learning from AI Feedback (RLAIF)\, we c
 an now create Instruct- and SFT-based reinforcement learning loops for mod
 els with minimal reliance on human data. This allows models to train witho
 ut human involvement in a teacher/student structure\, without requiring hu
 man feedback. With the setup I built in my own homelab\, I can develop my 
 Turkish-language open-source LLM and VLM models for finance\, law\, and cy
 bersecurity 24/7\, with minimal human interaction.\n\nhttps://latentshift.
 ai/schedule/rlaif-ile-model-finetuning/
LOCATION:Bağlarbaşı Kongre ve Kültür Merkezi\, Boğaziçi Salonu\, Sel
 ami Ali Mah.\, Gazi Cad. No:22\, 34664 Üsküdar\, İstanbul
GEO:41.024366;29.033571
URL:https://latentshift.ai/schedule/rlaif-ile-model-finetuning/
CATEGORIES:LatentShift,Long talk
STATUS:CONFIRMED
TRANSP:OPAQUE
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DESCRIPTION:Starts in 10 minutes · Removing the Human Bottleneck in Model 
 Fine-Tuning/Pre-Training with RLAIF
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