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UID:pretalx-devconf-us-2025-TWKS7X@pretalx.devconf.info
DTSTART;TZID=EST:20250920T131000
DTEND;TZID=EST:20250920T134500
DESCRIPTION:In this talk\, we will introduce SDG Hub\, an open-source toolk
 it developed at Red Hat  for customizing language models using synthetic d
 ata. We will begin by unpacking what synthetic data means in the context o
 f LLMs\, and how it enables model customization.\nThe session will explore
  SDG Hub’s core components: prompts\, blocks\, and flows\, and demonstra
 te how users can compose\, extend\, or modify pipelines to fit specific ta
 sks. It will also cover strategies for choosing the right teacher model de
 pending on the use case (reasoning\, translation\, etc.)\, and walk throug
 h two real-world examples: building a document-grounded skill using a pre-
 built pipeline\, and customizing a reasoning model by authoring new blocks
 \, prompts\, flows\, and integrating a custom teacher.\nThe talk will conc
 lude with a demo of the new SDG Hub GUI\, showcasing how non-experts can v
 isually construct and manage their own synthetic data pipelines.
DTSTAMP:20260311T012359Z
LOCATION:Ladd Room (Capacity 170)
SUMMARY:SDG_Hub: An Open-Source Toolkit for Synthetic Data Generation and L
 LM Customization - Shivchander Sudalairaj\, Abhishek
URL:https://pretalx.devconf.info/devconf-us-2025/talk/TWKS7X/
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